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2026-07-09 12:20:18 +02:00
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70
reports/CertifiedUnlearning/RESNET34/forget.csv
View File

@@ -430,3 +430,73 @@ accuracy,macro_precision,macro_recall,macro_f1,weighted_precision,weighted_recal
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
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0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.3250,1.0000,0.3250,0.4906,1.0000,0.3250,0.4906
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.3000,1.0000,0.3000,0.4615,1.0000,0.3000,0.4615
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
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0.0250,1.0000,0.0250,0.0488,1.0000,0.0250,0.0488
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
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0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
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0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.1500,1.0000,0.1500,0.2609,1.0000,0.1500,0.2609
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.1750,1.0000,0.1750,0.2979,1.0000,0.1750,0.2979
0.0375,1.0000,0.0375,0.0723,1.0000,0.0375,0.0723
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
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0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.1125,1.0000,0.1125,0.2022,1.0000,0.1125,0.2022
1 accuracy macro_precision macro_recall macro_f1 weighted_precision weighted_recall weighted_f1
430 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
431 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
432 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
433 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
434 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
435 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
436 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
437 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
438 0.3250 1.0000 0.3250 0.4906 1.0000 0.3250 0.4906
439 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
440 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
441 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
442 0.3000 1.0000 0.3000 0.4615 1.0000 0.3000 0.4615
443 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
444 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
445 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
446 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
447 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
448 0.0250 1.0000 0.0250 0.0488 1.0000 0.0250 0.0488
449 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
450 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
451 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
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456 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
457 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
458 0.1500 1.0000 0.1500 0.2609 1.0000 0.1500 0.2609
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461 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
462 0.1750 1.0000 0.1750 0.2979 1.0000 0.1750 0.2979
463 0.0375 1.0000 0.0375 0.0723 1.0000 0.0375 0.0723
464 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
465 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
466 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
467 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
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471 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
472 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
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476 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
477 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
478 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
479 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
480 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
481 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
482 0.1500 1.0000 0.1500 0.2609 1.0000 0.1500 0.2609
483 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
484 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
485 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
486 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
487 0.0375 1.0000 0.0375 0.0723 1.0000 0.0375 0.0723
488 0.0250 1.0000 0.0250 0.0488 1.0000 0.0250 0.0488
489 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
490 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
491 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
492 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
493 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
494 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
495 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
496 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
497 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
498 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
499 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
500 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
501 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
502 0.1125 1.0000 0.1125 0.2022 1.0000 0.1125 0.2022

70
reports/CertifiedUnlearning/RESNET34/forget_train.csv
View File

@@ -430,3 +430,73 @@ accuracy,macro_precision,macro_recall,macro_f1,weighted_precision,weighted_recal
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.5094,1.0000,0.5094,0.6749,1.0000,0.5094,0.6749
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0031,1.0000,0.0031,0.0062,1.0000,0.0031,0.0062
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.2969,1.0000,0.2969,0.4578,1.0000,0.2969,0.4578
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
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0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0156,1.0000,0.0156,0.0308,1.0000,0.0156,0.0308
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
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0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.2562,1.0000,0.2562,0.4080,1.0000,0.2562,0.4080
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0.1469,1.0000,0.1469,0.2561,1.0000,0.1469,0.2561
0.0375,1.0000,0.0375,0.0723,1.0000,0.0375,0.0723
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0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0250,1.0000,0.0250,0.0488,1.0000,0.0250,0.0488
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0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.1031,1.0000,0.1031,0.1870,1.0000,0.1031,0.1870
0.0375,1.0000,0.0375,0.0723,1.0000,0.0375,0.0723
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0656,1.0000,0.0656,0.1232,1.0000,0.0656,0.1232
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0094,1.0000,0.0094,0.0186,1.0000,0.0094,0.0186
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0875,1.0000,0.0875,0.1609,1.0000,0.0875,0.1609
1 accuracy macro_precision macro_recall macro_f1 weighted_precision weighted_recall weighted_f1
430 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
431 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
432 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
433 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
434 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
435 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
436 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
437 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
438 0.5094 1.0000 0.5094 0.6749 1.0000 0.5094 0.6749
439 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
440 0.0031 1.0000 0.0031 0.0062 1.0000 0.0031 0.0062
441 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
442 0.2969 1.0000 0.2969 0.4578 1.0000 0.2969 0.4578
443 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
444 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
445 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
446 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
447 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
448 0.0156 1.0000 0.0156 0.0308 1.0000 0.0156 0.0308
449 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
450 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
451 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
452 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
453 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
454 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
455 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
456 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
457 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
458 0.2562 1.0000 0.2562 0.4080 1.0000 0.2562 0.4080
459 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
460 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
461 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
462 0.1469 1.0000 0.1469 0.2561 1.0000 0.1469 0.2561
463 0.0375 1.0000 0.0375 0.0723 1.0000 0.0375 0.0723
464 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
465 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
466 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
467 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
468 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
469 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
470 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
471 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
472 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
473 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
474 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
475 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
476 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
477 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
478 0.0250 1.0000 0.0250 0.0488 1.0000 0.0250 0.0488
479 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
480 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
481 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
482 0.1031 1.0000 0.1031 0.1870 1.0000 0.1031 0.1870
483 0.0375 1.0000 0.0375 0.0723 1.0000 0.0375 0.0723
484 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
485 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
486 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
487 0.0656 1.0000 0.0656 0.1232 1.0000 0.0656 0.1232
488 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
489 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
490 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
491 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
492 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
493 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
494 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
495 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
496 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
497 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
498 0.0094 1.0000 0.0094 0.0186 1.0000 0.0094 0.0186
499 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
500 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
501 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
502 0.0875 1.0000 0.0875 0.1609 1.0000 0.0875 0.1609

70
reports/CertifiedUnlearning/RESNET34/retain.csv
View File

@@ -430,3 +430,73 @@ accuracy,macro_precision,macro_recall,macro_f1,weighted_precision,weighted_recal
0.7046,0.8702,0.7046,0.7201,0.8702,0.7046,0.7201 0.7046,0.8702,0.7046,0.7201,0.8702,0.7046,0.7201
0.0789,0.0145,0.0789,0.0229,0.0145,0.0789,0.0229 0.0789,0.0145,0.0789,0.0229,0.0145,0.0789,0.0229
0.8559,0.9075,0.8559,0.8674,0.9075,0.8559,0.8674 0.8559,0.9075,0.8559,0.8674,0.9075,0.8559,0.8674
0.9224,0.9298,0.9224,0.9229,0.9298,0.9224,0.9229
0.4855,0.8412,0.4855,0.4695,0.8412,0.4855,0.4695
0.9105,0.9286,0.9105,0.9140,0.9286,0.9105,0.9140
0.9428,0.9446,0.9428,0.9427,0.9446,0.9428,0.9427
0.8599,0.9066,0.8599,0.8687,0.9066,0.8599,0.8687
0.9382,0.9441,0.9382,0.9390,0.9441,0.9382,0.9390
0.8421,0.9053,0.8421,0.8560,0.9053,0.8421,0.8560
0.9395,0.9435,0.9395,0.9399,0.9435,0.9395,0.9399
0.5605,0.8519,0.5605,0.5714,0.8519,0.5605,0.5714
0.9421,0.9446,0.9421,0.9424,0.9446,0.9421,0.9424
0.4868,0.9257,0.4868,0.5641,0.9257,0.4868,0.5641
0.8454,0.8987,0.8454,0.8538,0.8987,0.8454,0.8538
0.8066,0.9109,0.8066,0.8308,0.9109,0.8066,0.8308
0.9191,0.9321,0.9191,0.9210,0.9321,0.9191,0.9210
0.9237,0.9358,0.9237,0.9260,0.9358,0.9237,0.9260
0.9401,0.9454,0.9401,0.9409,0.9454,0.9401,0.9409
0.9132,0.9232,0.9132,0.9139,0.9232,0.9132,0.9139
0.1789,0.7363,0.1789,0.2088,0.7363,0.1789,0.2088
0.0743,0.0111,0.0743,0.0181,0.0111,0.0743,0.0181
0.4007,0.7057,0.4007,0.3780,0.7057,0.4007,0.3780
0.8724,0.9280,0.8724,0.8870,0.9280,0.8724,0.8870
0.1743,0.5505,0.1743,0.1488,0.5505,0.1743,0.1488
0.9388,0.9437,0.9388,0.9398,0.9437,0.9388,0.9398
0.9447,0.9470,0.9447,0.9449,0.9470,0.9447,0.9449
0.8954,0.9243,0.8954,0.9019,0.9243,0.8954,0.9019
0.9388,0.9430,0.9388,0.9393,0.9430,0.9388,0.9393
0.8961,0.9162,0.8961,0.8995,0.9162,0.8961,0.8995
0.8559,0.9244,0.8559,0.8749,0.9244,0.8559,0.8749
0.7645,0.8747,0.7645,0.7787,0.8747,0.7645,0.7787
0.9441,0.9462,0.9441,0.9444,0.9462,0.9441,0.9444
0.9336,0.9395,0.9336,0.9340,0.9395,0.9336,0.9340
0.6783,0.8697,0.6783,0.7008,0.8697,0.6783,0.7008
0.8382,0.9077,0.8382,0.8484,0.9077,0.8382,0.8484
0.0526,0.0028,0.0526,0.0053,0.0028,0.0526,0.0053
0.9342,0.9393,0.9342,0.9345,0.9393,0.9342,0.9345
0.9368,0.9416,0.9368,0.9376,0.9416,0.9368,0.9376
0.9158,0.9388,0.9158,0.9207,0.9388,0.9158,0.9207
0.8533,0.9012,0.8533,0.8595,0.9012,0.8533,0.8595
0.1026,0.1456,0.1026,0.0392,0.1456,0.1026,0.0392
0.6928,0.8887,0.6928,0.7218,0.8887,0.6928,0.7218
0.9191,0.9270,0.9191,0.9197,0.9270,0.9191,0.9197
0.4316,0.8326,0.4316,0.4030,0.8326,0.4316,0.4030
0.9289,0.9391,0.9289,0.9310,0.9391,0.9289,0.9310
0.9454,0.9476,0.9454,0.9456,0.9476,0.9454,0.9456
0.9046,0.9221,0.9046,0.9073,0.9221,0.9046,0.9073
0.9322,0.9393,0.9322,0.9332,0.9393,0.9322,0.9332
0.8842,0.9196,0.8842,0.8916,0.9196,0.8842,0.8916
0.9072,0.9258,0.9072,0.9111,0.9258,0.9072,0.9111
0.1322,0.3672,0.1322,0.0844,0.3672,0.1322,0.0844
0.9447,0.9469,0.9447,0.9451,0.9469,0.9447,0.9451
0.9336,0.9384,0.9336,0.9339,0.9384,0.9336,0.9339
0.7941,0.8921,0.7941,0.8103,0.8921,0.7941,0.8103
0.9447,0.9477,0.9447,0.9449,0.9477,0.9447,0.9449
0.1329,0.2409,0.1329,0.0850,0.2409,0.1329,0.0850
0.9513,0.9546,0.9513,0.9519,0.9546,0.9513,0.9519
0.9408,0.9464,0.9408,0.9416,0.9464,0.9408,0.9416
0.8987,0.9157,0.8987,0.8994,0.9157,0.8987,0.8994
0.8987,0.9205,0.8987,0.9035,0.9205,0.8987,0.9035
0.0750,0.0175,0.0750,0.0233,0.0175,0.0750,0.0233
0.4493,0.7334,0.4493,0.4059,0.7334,0.4493,0.4059
0.9322,0.9380,0.9322,0.9327,0.9380,0.9322,0.9327
0.7204,0.8401,0.7204,0.7178,0.8401,0.7204,0.7178
0.9428,0.9486,0.9428,0.9439,0.9486,0.9428,0.9439
0.9401,0.9450,0.9401,0.9408,0.9450,0.9401,0.9408
0.5875,0.8750,0.5875,0.6154,0.8750,0.5875,0.6154
0.9336,0.9402,0.9336,0.9342,0.9402,0.9336,0.9342
0.8257,0.8913,0.8257,0.8352,0.8913,0.8257,0.8352
0.8987,0.9353,0.8987,0.9086,0.9353,0.8987,0.9086
0.8882,0.9162,0.8882,0.8931,0.9162,0.8882,0.8931
0.9388,0.9419,0.9388,0.9392,0.9419,0.9388,0.9392
1 accuracy macro_precision macro_recall macro_f1 weighted_precision weighted_recall weighted_f1
430 0.7046 0.8702 0.7046 0.7201 0.8702 0.7046 0.7201
431 0.0789 0.0145 0.0789 0.0229 0.0145 0.0789 0.0229
432 0.8559 0.9075 0.8559 0.8674 0.9075 0.8559 0.8674
433 0.9224 0.9298 0.9224 0.9229 0.9298 0.9224 0.9229
434 0.4855 0.8412 0.4855 0.4695 0.8412 0.4855 0.4695
435 0.9105 0.9286 0.9105 0.9140 0.9286 0.9105 0.9140
436 0.9428 0.9446 0.9428 0.9427 0.9446 0.9428 0.9427
437 0.8599 0.9066 0.8599 0.8687 0.9066 0.8599 0.8687
438 0.9382 0.9441 0.9382 0.9390 0.9441 0.9382 0.9390
439 0.8421 0.9053 0.8421 0.8560 0.9053 0.8421 0.8560
440 0.9395 0.9435 0.9395 0.9399 0.9435 0.9395 0.9399
441 0.5605 0.8519 0.5605 0.5714 0.8519 0.5605 0.5714
442 0.9421 0.9446 0.9421 0.9424 0.9446 0.9421 0.9424
443 0.4868 0.9257 0.4868 0.5641 0.9257 0.4868 0.5641
444 0.8454 0.8987 0.8454 0.8538 0.8987 0.8454 0.8538
445 0.8066 0.9109 0.8066 0.8308 0.9109 0.8066 0.8308
446 0.9191 0.9321 0.9191 0.9210 0.9321 0.9191 0.9210
447 0.9237 0.9358 0.9237 0.9260 0.9358 0.9237 0.9260
448 0.9401 0.9454 0.9401 0.9409 0.9454 0.9401 0.9409
449 0.9132 0.9232 0.9132 0.9139 0.9232 0.9132 0.9139
450 0.1789 0.7363 0.1789 0.2088 0.7363 0.1789 0.2088
451 0.0743 0.0111 0.0743 0.0181 0.0111 0.0743 0.0181
452 0.4007 0.7057 0.4007 0.3780 0.7057 0.4007 0.3780
453 0.8724 0.9280 0.8724 0.8870 0.9280 0.8724 0.8870
454 0.1743 0.5505 0.1743 0.1488 0.5505 0.1743 0.1488
455 0.9388 0.9437 0.9388 0.9398 0.9437 0.9388 0.9398
456 0.9447 0.9470 0.9447 0.9449 0.9470 0.9447 0.9449
457 0.8954 0.9243 0.8954 0.9019 0.9243 0.8954 0.9019
458 0.9388 0.9430 0.9388 0.9393 0.9430 0.9388 0.9393
459 0.8961 0.9162 0.8961 0.8995 0.9162 0.8961 0.8995
460 0.8559 0.9244 0.8559 0.8749 0.9244 0.8559 0.8749
461 0.7645 0.8747 0.7645 0.7787 0.8747 0.7645 0.7787
462 0.9441 0.9462 0.9441 0.9444 0.9462 0.9441 0.9444
463 0.9336 0.9395 0.9336 0.9340 0.9395 0.9336 0.9340
464 0.6783 0.8697 0.6783 0.7008 0.8697 0.6783 0.7008
465 0.8382 0.9077 0.8382 0.8484 0.9077 0.8382 0.8484
466 0.0526 0.0028 0.0526 0.0053 0.0028 0.0526 0.0053
467 0.9342 0.9393 0.9342 0.9345 0.9393 0.9342 0.9345
468 0.9368 0.9416 0.9368 0.9376 0.9416 0.9368 0.9376
469 0.9158 0.9388 0.9158 0.9207 0.9388 0.9158 0.9207
470 0.8533 0.9012 0.8533 0.8595 0.9012 0.8533 0.8595
471 0.1026 0.1456 0.1026 0.0392 0.1456 0.1026 0.0392
472 0.6928 0.8887 0.6928 0.7218 0.8887 0.6928 0.7218
473 0.9191 0.9270 0.9191 0.9197 0.9270 0.9191 0.9197
474 0.4316 0.8326 0.4316 0.4030 0.8326 0.4316 0.4030
475 0.9289 0.9391 0.9289 0.9310 0.9391 0.9289 0.9310
476 0.9454 0.9476 0.9454 0.9456 0.9476 0.9454 0.9456
477 0.9046 0.9221 0.9046 0.9073 0.9221 0.9046 0.9073
478 0.9322 0.9393 0.9322 0.9332 0.9393 0.9322 0.9332
479 0.8842 0.9196 0.8842 0.8916 0.9196 0.8842 0.8916
480 0.9072 0.9258 0.9072 0.9111 0.9258 0.9072 0.9111
481 0.1322 0.3672 0.1322 0.0844 0.3672 0.1322 0.0844
482 0.9447 0.9469 0.9447 0.9451 0.9469 0.9447 0.9451
483 0.9336 0.9384 0.9336 0.9339 0.9384 0.9336 0.9339
484 0.7941 0.8921 0.7941 0.8103 0.8921 0.7941 0.8103
485 0.9447 0.9477 0.9447 0.9449 0.9477 0.9447 0.9449
486 0.1329 0.2409 0.1329 0.0850 0.2409 0.1329 0.0850
487 0.9513 0.9546 0.9513 0.9519 0.9546 0.9513 0.9519
488 0.9408 0.9464 0.9408 0.9416 0.9464 0.9408 0.9416
489 0.8987 0.9157 0.8987 0.8994 0.9157 0.8987 0.8994
490 0.8987 0.9205 0.8987 0.9035 0.9205 0.8987 0.9035
491 0.0750 0.0175 0.0750 0.0233 0.0175 0.0750 0.0233
492 0.4493 0.7334 0.4493 0.4059 0.7334 0.4493 0.4059
493 0.9322 0.9380 0.9322 0.9327 0.9380 0.9322 0.9327
494 0.7204 0.8401 0.7204 0.7178 0.8401 0.7204 0.7178
495 0.9428 0.9486 0.9428 0.9439 0.9486 0.9428 0.9439
496 0.9401 0.9450 0.9401 0.9408 0.9450 0.9401 0.9408
497 0.5875 0.8750 0.5875 0.6154 0.8750 0.5875 0.6154
498 0.9336 0.9402 0.9336 0.9342 0.9402 0.9336 0.9342
499 0.8257 0.8913 0.8257 0.8352 0.8913 0.8257 0.8352
500 0.8987 0.9353 0.8987 0.9086 0.9353 0.8987 0.9086
501 0.8882 0.9162 0.8882 0.8931 0.9162 0.8882 0.8931
502 0.9388 0.9419 0.9388 0.9392 0.9419 0.9388 0.9392

70
reports/CertifiedUnlearning/attack_values.csv
View File

@@ -35,3 +35,73 @@ target_class, parameter_mia_accuracy, lookalike_accuracy, A-Dist, JS-Dist
9,0.500000,0.962500, 0.062500, 0.622796 9,0.500000,0.962500, 0.062500, 0.622796
10,0.500000,1.000000, 0.093750, 0.712293 10,0.500000,1.000000, 0.093750, 0.712293
11,0.500000,0.939583, 0.187500, 0.511184 11,0.500000,0.939583, 0.187500, 0.511184
12,0.500000,0.466667, 0.281250, 0.413517
13,0.500000,0.995833, 0.114583, 0.669439
14,0.500000,0.675000, 0.218750, 0.498983
15,0.500000,0.316667, 0.093750, 0.529322
16,0.500000,0.916667, 0.187500, 0.523973
17,0.500000,0.345833, 0.062500, 0.510469
18,0.506250,0.820833, 0.135417, 0.511134
19,0.500000,0.389583, 0.229167, 0.477538
0,0.500000,0.970833, 0.135417, 0.623213
1,0.500000,0.193750, 0.218750, 0.493351
2,0.500000,0.854167, 0.177083, 0.671919
3,0.500000,0.920833, 0.114583, 0.558905
4,0.500000,0.756250, 0.072917, 0.596233
5,0.500000,0.608333, 0.250000, 0.485097
6,0.500000,0.260417, 0.166667, 0.490399
7,0.500000,0.364583, 0.072917, 0.561459
8,0.500000,0.708333, 0.020833, 0.470800
9,0.500000,0.991667, 0.385417, 0.762109
10,0.500000,1.000000, 0.093750, 0.678853
11,0.500000,0.995833, 0.104167, 0.683396
12,0.500000,0.641667, 0.083333, 0.571319
13,0.500000,0.997917, 0.135417, 0.583894
14,0.500000,0.468750, 0.177083, 0.451983
15,0.500000,0.291667, 0.145833, 0.541368
16,0.500000,0.875000, 0.156250, 0.511462
17,0.500000,0.345833, 0.041667, 0.479962
18,0.500000,0.618750, 0.072917, 0.544584
19,0.500000,0.618750, 0.166667, 0.573180
0,0.500000,0.950000, 0.062500, 0.586028
1,0.500000,0.200000, 0.291667, 0.459955
2,0.500000,0.297917, 0.156250, 0.499117
3,0.500000,0.989583, 0.083333, 0.521307
4,0.500000,0.731250, 0.125000, 0.579185
5,0.500000,1.000000, 0.687500, 0.765466
6,0.500000,0.260417, 0.229167, 0.482433
7,0.500000,0.410417, 0.114583, 0.560566
8,0.500000,0.566667, 0.166667, 0.523542
9,0.500000,0.820833, 0.010417, 0.625328
10,0.500000,1.000000, 0.093750, 0.778510
11,0.500000,0.966667, 0.333333, 0.690986
12,0.500000,0.504167, 0.135417, 0.426680
13,0.500000,0.997917, 0.125000, 0.644118
14,0.500000,0.537500, 0.114583, 0.477172
15,0.500000,0.279167, 0.125000, 0.540951
16,0.500000,0.804167, 0.260417, 0.474340
17,0.500000,0.379167, 0.072917, 0.470821
18,0.500000,0.606250, 0.093750, 0.469626
19,0.500000,0.291667, 0.302083, 0.480096
0,0.500000,0.995833, 0.072917, 0.715035
1,0.500000,0.185417, 0.218750, 0.456389
2,0.500000,0.300000, 0.114583, 0.497263
3,0.500000,0.966667, 0.187500, 0.580753
4,0.500000,0.310417, 0.197917, 0.575135
5,0.500000,1.000000, 0.052083, 0.697449
6,0.500000,0.289583, 0.072917, 0.543144
7,0.500000,0.381250, 0.218750, 0.565703
8,0.500000,0.760417, 0.197917, 0.522653
9,0.500000,0.618750, 0.093750, 0.575952
10,0.500000,1.000000, 0.093750, 0.659746
11,0.500000,0.995833, 0.062500, 0.574689
12,0.500000,0.347917, 0.104167, 0.395158
13,0.500000,0.968750, 0.093750, 0.507495
14,0.500000,0.456250, 0.229167, 0.474004
15,0.500000,0.293750, 0.218750, 0.543328
16,0.500000,0.993750, 0.156250, 0.550782
17,0.500000,0.377083, 0.166667, 0.459667
18,0.600000,0.881250, 0.083333, 0.488006
19,0.500000,0.568750, 0.187500, 0.546058
0,0.500000,0.635417, 0.156250, 0.527750
1,0.500000,0.193750, 0.333333, 0.447474
1 target_class parameter_mia_accuracy lookalike_accuracy A-Dist JS-Dist
35 10 0.500000 1.000000 0.093750 0.712293
36 11 0.500000 0.939583 0.187500 0.511184
37 12 0.500000 0.466667 0.281250 0.413517
38 13 0.500000 0.995833 0.114583 0.669439
39 14 0.500000 0.675000 0.218750 0.498983
40 15 0.500000 0.316667 0.093750 0.529322
41 16 0.500000 0.916667 0.187500 0.523973
42 17 0.500000 0.345833 0.062500 0.510469
43 18 0.506250 0.820833 0.135417 0.511134
44 19 0.500000 0.389583 0.229167 0.477538
45 0 0.500000 0.970833 0.135417 0.623213
46 1 0.500000 0.193750 0.218750 0.493351
47 2 0.500000 0.854167 0.177083 0.671919
48 3 0.500000 0.920833 0.114583 0.558905
49 4 0.500000 0.756250 0.072917 0.596233
50 5 0.500000 0.608333 0.250000 0.485097
51 6 0.500000 0.260417 0.166667 0.490399
52 7 0.500000 0.364583 0.072917 0.561459
53 8 0.500000 0.708333 0.020833 0.470800
54 9 0.500000 0.991667 0.385417 0.762109
55 10 0.500000 1.000000 0.093750 0.678853
56 11 0.500000 0.995833 0.104167 0.683396
57 12 0.500000 0.641667 0.083333 0.571319
58 13 0.500000 0.997917 0.135417 0.583894
59 14 0.500000 0.468750 0.177083 0.451983
60 15 0.500000 0.291667 0.145833 0.541368
61 16 0.500000 0.875000 0.156250 0.511462
62 17 0.500000 0.345833 0.041667 0.479962
63 18 0.500000 0.618750 0.072917 0.544584
64 19 0.500000 0.618750 0.166667 0.573180
65 0 0.500000 0.950000 0.062500 0.586028
66 1 0.500000 0.200000 0.291667 0.459955
67 2 0.500000 0.297917 0.156250 0.499117
68 3 0.500000 0.989583 0.083333 0.521307
69 4 0.500000 0.731250 0.125000 0.579185
70 5 0.500000 1.000000 0.687500 0.765466
71 6 0.500000 0.260417 0.229167 0.482433
72 7 0.500000 0.410417 0.114583 0.560566
73 8 0.500000 0.566667 0.166667 0.523542
74 9 0.500000 0.820833 0.010417 0.625328
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106 1 0.500000 0.193750 0.333333 0.447474
107

70
reports/LinearFiltration/RESNET34/forget.csv
View File

@@ -511,3 +511,73 @@ accuracy,macro_precision,macro_recall,macro_f1,weighted_precision,weighted_recal
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70
reports/LinearFiltration/RESNET34/forget_train.csv
View File

@@ -511,3 +511,73 @@ accuracy,macro_precision,macro_recall,macro_f1,weighted_precision,weighted_recal
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1 accuracy macro_precision macro_recall macro_f1 weighted_precision weighted_recall weighted_f1
511 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
512 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
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555 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
556 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
557 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
558 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
559 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
560 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
561 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
562 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
563 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
564 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
565 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
566 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
567 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
568 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
569 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
570 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
571 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
572 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
573 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
574 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
575 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
576 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
577 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
578 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
579 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
580 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
581 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
582 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
583 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

70
reports/LinearFiltration/RESNET34/retain.csv
View File

@@ -511,3 +511,73 @@ accuracy,macro_precision,macro_recall,macro_f1,weighted_precision,weighted_recal
0.9533,0.9547,0.9533,0.9535,0.9547,0.9533,0.9535 0.9533,0.9547,0.9533,0.9535,0.9547,0.9533,0.9535
0.9546,0.9561,0.9546,0.9549,0.9561,0.9546,0.9549 0.9546,0.9561,0.9546,0.9549,0.9561,0.9546,0.9549
0.9513,0.9531,0.9513,0.9516,0.9531,0.9513,0.9516 0.9513,0.9531,0.9513,0.9516,0.9531,0.9513,0.9516
0.9533,0.9549,0.9533,0.9535,0.9549,0.9533,0.9535
0.9559,0.9570,0.9559,0.9561,0.9570,0.9559,0.9561
0.9513,0.9532,0.9513,0.9516,0.9532,0.9513,0.9516
0.9513,0.9531,0.9513,0.9516,0.9531,0.9513,0.9516
0.9520,0.9538,0.9520,0.9523,0.9538,0.9520,0.9523
0.9539,0.9554,0.9539,0.9542,0.9554,0.9539,0.9542
0.9526,0.9544,0.9526,0.9529,0.9544,0.9526,0.9529
0.9526,0.9541,0.9526,0.9529,0.9541,0.9526,0.9529
0.9533,0.9551,0.9533,0.9536,0.9551,0.9533,0.9536
0.9533,0.9545,0.9533,0.9535,0.9545,0.9533,0.9535
0.9546,0.9562,0.9546,0.9548,0.9562,0.9546,0.9548
0.9553,0.9570,0.9553,0.9555,0.9570,0.9553,0.9555
0.9566,0.9581,0.9566,0.9568,0.9581,0.9566,0.9568
0.9553,0.9568,0.9553,0.9555,0.9568,0.9553,0.9555
0.9513,0.9532,0.9513,0.9516,0.9532,0.9513,0.9516
0.9539,0.9556,0.9539,0.9542,0.9556,0.9539,0.9542
0.9520,0.9539,0.9520,0.9523,0.9539,0.9520,0.9523
0.9533,0.9547,0.9533,0.9535,0.9547,0.9533,0.9535
0.9546,0.9561,0.9546,0.9549,0.9561,0.9546,0.9549
0.9513,0.9531,0.9513,0.9516,0.9531,0.9513,0.9516
0.9533,0.9549,0.9533,0.9535,0.9549,0.9533,0.9535
0.9559,0.9570,0.9559,0.9561,0.9570,0.9559,0.9561
0.9513,0.9532,0.9513,0.9516,0.9532,0.9513,0.9516
0.9513,0.9531,0.9513,0.9516,0.9531,0.9513,0.9516
0.9520,0.9538,0.9520,0.9523,0.9538,0.9520,0.9523
0.9539,0.9554,0.9539,0.9542,0.9554,0.9539,0.9542
0.9526,0.9544,0.9526,0.9529,0.9544,0.9526,0.9529
0.9526,0.9541,0.9526,0.9529,0.9541,0.9526,0.9529
0.9533,0.9551,0.9533,0.9536,0.9551,0.9533,0.9536
0.9533,0.9545,0.9533,0.9535,0.9545,0.9533,0.9535
0.9546,0.9562,0.9546,0.9548,0.9562,0.9546,0.9548
0.9553,0.9570,0.9553,0.9555,0.9570,0.9553,0.9555
0.9566,0.9581,0.9566,0.9568,0.9581,0.9566,0.9568
0.9553,0.9568,0.9553,0.9555,0.9568,0.9553,0.9555
0.9513,0.9532,0.9513,0.9516,0.9532,0.9513,0.9516
0.9539,0.9556,0.9539,0.9542,0.9556,0.9539,0.9542
0.9520,0.9539,0.9520,0.9523,0.9539,0.9520,0.9523
0.9533,0.9547,0.9533,0.9535,0.9547,0.9533,0.9535
0.9546,0.9561,0.9546,0.9549,0.9561,0.9546,0.9549
0.9513,0.9531,0.9513,0.9516,0.9531,0.9513,0.9516
0.9533,0.9549,0.9533,0.9535,0.9549,0.9533,0.9535
0.9559,0.9570,0.9559,0.9561,0.9570,0.9559,0.9561
0.9513,0.9532,0.9513,0.9516,0.9532,0.9513,0.9516
0.9513,0.9531,0.9513,0.9516,0.9531,0.9513,0.9516
0.9520,0.9538,0.9520,0.9523,0.9538,0.9520,0.9523
0.9539,0.9554,0.9539,0.9542,0.9554,0.9539,0.9542
0.9526,0.9544,0.9526,0.9529,0.9544,0.9526,0.9529
0.9526,0.9541,0.9526,0.9529,0.9541,0.9526,0.9529
0.9533,0.9551,0.9533,0.9536,0.9551,0.9533,0.9536
0.9533,0.9545,0.9533,0.9535,0.9545,0.9533,0.9535
0.9546,0.9562,0.9546,0.9548,0.9562,0.9546,0.9548
0.9553,0.9570,0.9553,0.9555,0.9570,0.9553,0.9555
0.9566,0.9581,0.9566,0.9568,0.9581,0.9566,0.9568
0.9553,0.9568,0.9553,0.9555,0.9568,0.9553,0.9555
0.9513,0.9532,0.9513,0.9516,0.9532,0.9513,0.9516
0.9539,0.9556,0.9539,0.9542,0.9556,0.9539,0.9542
0.9520,0.9539,0.9520,0.9523,0.9539,0.9520,0.9523
0.9533,0.9547,0.9533,0.9535,0.9547,0.9533,0.9535
0.9546,0.9561,0.9546,0.9549,0.9561,0.9546,0.9549
0.9513,0.9531,0.9513,0.9516,0.9531,0.9513,0.9516
0.9533,0.9549,0.9533,0.9535,0.9549,0.9533,0.9535
0.9559,0.9570,0.9559,0.9561,0.9570,0.9559,0.9561
0.9513,0.9532,0.9513,0.9516,0.9532,0.9513,0.9516
0.9513,0.9531,0.9513,0.9516,0.9531,0.9513,0.9516
0.9520,0.9538,0.9520,0.9523,0.9538,0.9520,0.9523
0.9539,0.9554,0.9539,0.9542,0.9554,0.9539,0.9542
0.9526,0.9544,0.9526,0.9529,0.9544,0.9526,0.9529
0.9526,0.9541,0.9526,0.9529,0.9541,0.9526,0.9529
0.9533,0.9551,0.9533,0.9536,0.9551,0.9533,0.9536
0.9533,0.9545,0.9533,0.9535,0.9545,0.9533,0.9535
1 accuracy macro_precision macro_recall macro_f1 weighted_precision weighted_recall weighted_f1
511 0.9533 0.9547 0.9533 0.9535 0.9547 0.9533 0.9535
512 0.9546 0.9561 0.9546 0.9549 0.9561 0.9546 0.9549
513 0.9513 0.9531 0.9513 0.9516 0.9531 0.9513 0.9516
514 0.9533 0.9549 0.9533 0.9535 0.9549 0.9533 0.9535
515 0.9559 0.9570 0.9559 0.9561 0.9570 0.9559 0.9561
516 0.9513 0.9532 0.9513 0.9516 0.9532 0.9513 0.9516
517 0.9513 0.9531 0.9513 0.9516 0.9531 0.9513 0.9516
518 0.9520 0.9538 0.9520 0.9523 0.9538 0.9520 0.9523
519 0.9539 0.9554 0.9539 0.9542 0.9554 0.9539 0.9542
520 0.9526 0.9544 0.9526 0.9529 0.9544 0.9526 0.9529
521 0.9526 0.9541 0.9526 0.9529 0.9541 0.9526 0.9529
522 0.9533 0.9551 0.9533 0.9536 0.9551 0.9533 0.9536
523 0.9533 0.9545 0.9533 0.9535 0.9545 0.9533 0.9535
524 0.9546 0.9562 0.9546 0.9548 0.9562 0.9546 0.9548
525 0.9553 0.9570 0.9553 0.9555 0.9570 0.9553 0.9555
526 0.9566 0.9581 0.9566 0.9568 0.9581 0.9566 0.9568
527 0.9553 0.9568 0.9553 0.9555 0.9568 0.9553 0.9555
528 0.9513 0.9532 0.9513 0.9516 0.9532 0.9513 0.9516
529 0.9539 0.9556 0.9539 0.9542 0.9556 0.9539 0.9542
530 0.9520 0.9539 0.9520 0.9523 0.9539 0.9520 0.9523
531 0.9533 0.9547 0.9533 0.9535 0.9547 0.9533 0.9535
532 0.9546 0.9561 0.9546 0.9549 0.9561 0.9546 0.9549
533 0.9513 0.9531 0.9513 0.9516 0.9531 0.9513 0.9516
534 0.9533 0.9549 0.9533 0.9535 0.9549 0.9533 0.9535
535 0.9559 0.9570 0.9559 0.9561 0.9570 0.9559 0.9561
536 0.9513 0.9532 0.9513 0.9516 0.9532 0.9513 0.9516
537 0.9513 0.9531 0.9513 0.9516 0.9531 0.9513 0.9516
538 0.9520 0.9538 0.9520 0.9523 0.9538 0.9520 0.9523
539 0.9539 0.9554 0.9539 0.9542 0.9554 0.9539 0.9542
540 0.9526 0.9544 0.9526 0.9529 0.9544 0.9526 0.9529
541 0.9526 0.9541 0.9526 0.9529 0.9541 0.9526 0.9529
542 0.9533 0.9551 0.9533 0.9536 0.9551 0.9533 0.9536
543 0.9533 0.9545 0.9533 0.9535 0.9545 0.9533 0.9535
544 0.9546 0.9562 0.9546 0.9548 0.9562 0.9546 0.9548
545 0.9553 0.9570 0.9553 0.9555 0.9570 0.9553 0.9555
546 0.9566 0.9581 0.9566 0.9568 0.9581 0.9566 0.9568
547 0.9553 0.9568 0.9553 0.9555 0.9568 0.9553 0.9555
548 0.9513 0.9532 0.9513 0.9516 0.9532 0.9513 0.9516
549 0.9539 0.9556 0.9539 0.9542 0.9556 0.9539 0.9542
550 0.9520 0.9539 0.9520 0.9523 0.9539 0.9520 0.9523
551 0.9533 0.9547 0.9533 0.9535 0.9547 0.9533 0.9535
552 0.9546 0.9561 0.9546 0.9549 0.9561 0.9546 0.9549
553 0.9513 0.9531 0.9513 0.9516 0.9531 0.9513 0.9516
554 0.9533 0.9549 0.9533 0.9535 0.9549 0.9533 0.9535
555 0.9559 0.9570 0.9559 0.9561 0.9570 0.9559 0.9561
556 0.9513 0.9532 0.9513 0.9516 0.9532 0.9513 0.9516
557 0.9513 0.9531 0.9513 0.9516 0.9531 0.9513 0.9516
558 0.9520 0.9538 0.9520 0.9523 0.9538 0.9520 0.9523
559 0.9539 0.9554 0.9539 0.9542 0.9554 0.9539 0.9542
560 0.9526 0.9544 0.9526 0.9529 0.9544 0.9526 0.9529
561 0.9526 0.9541 0.9526 0.9529 0.9541 0.9526 0.9529
562 0.9533 0.9551 0.9533 0.9536 0.9551 0.9533 0.9536
563 0.9533 0.9545 0.9533 0.9535 0.9545 0.9533 0.9535
564 0.9546 0.9562 0.9546 0.9548 0.9562 0.9546 0.9548
565 0.9553 0.9570 0.9553 0.9555 0.9570 0.9553 0.9555
566 0.9566 0.9581 0.9566 0.9568 0.9581 0.9566 0.9568
567 0.9553 0.9568 0.9553 0.9555 0.9568 0.9553 0.9555
568 0.9513 0.9532 0.9513 0.9516 0.9532 0.9513 0.9516
569 0.9539 0.9556 0.9539 0.9542 0.9556 0.9539 0.9542
570 0.9520 0.9539 0.9520 0.9523 0.9539 0.9520 0.9523
571 0.9533 0.9547 0.9533 0.9535 0.9547 0.9533 0.9535
572 0.9546 0.9561 0.9546 0.9549 0.9561 0.9546 0.9549
573 0.9513 0.9531 0.9513 0.9516 0.9531 0.9513 0.9516
574 0.9533 0.9549 0.9533 0.9535 0.9549 0.9533 0.9535
575 0.9559 0.9570 0.9559 0.9561 0.9570 0.9559 0.9561
576 0.9513 0.9532 0.9513 0.9516 0.9532 0.9513 0.9516
577 0.9513 0.9531 0.9513 0.9516 0.9531 0.9513 0.9516
578 0.9520 0.9538 0.9520 0.9523 0.9538 0.9520 0.9523
579 0.9539 0.9554 0.9539 0.9542 0.9554 0.9539 0.9542
580 0.9526 0.9544 0.9526 0.9529 0.9544 0.9526 0.9529
581 0.9526 0.9541 0.9526 0.9529 0.9541 0.9526 0.9529
582 0.9533 0.9551 0.9533 0.9536 0.9551 0.9533 0.9536
583 0.9533 0.9545 0.9533 0.9535 0.9545 0.9533 0.9535

70
reports/LinearFiltration/attack_values.csv
View File

@@ -36,3 +36,73 @@ target_class, parameter_mia_accuracy, lookalike_accuracy, A-Dist, JS-Dist
10,0.500000,1.000000, 0.208333, 0.454807 10,0.500000,1.000000, 0.208333, 0.454807
11,0.500000,1.000000, 0.197917, 0.496418 11,0.500000,1.000000, 0.197917, 0.496418
12,0.500000,1.000000, 0.083333, 0.449275 12,0.500000,1.000000, 0.083333, 0.449275
13,0.500000,1.000000, 0.177083, 0.478610
14,0.500000,1.000000, 0.177083, 0.465639
15,0.500000,1.000000, 0.031250, 0.481693
16,0.500000,1.000000, 0.062500, 0.471196
17,0.500000,1.000000, 0.218750, 0.467138
18,0.500000,1.000000, 0.156250, 0.450509
19,0.500000,1.000000, 0.177083, 0.494708
0,0.500000,1.000000, 0.062500, 0.485891
1,0.500000,1.000000, 0.218750, 0.478561
2,0.500000,1.000000, 0.135417, 0.532665
3,0.500000,1.000000, 0.072917, 0.489767
4,0.500000,1.000000, 0.125000, 0.507482
5,0.500000,1.000000, 0.031250, 0.494227
6,0.500000,1.000000, 0.114583, 0.482238
7,0.500000,1.000000, 0.041667, 0.515044
8,0.500000,1.000000, 0.250000, 0.487606
9,0.500000,1.000000, 0.083333, 0.481131
10,0.500000,1.000000, 0.229167, 0.452552
11,0.500000,1.000000, 0.291667, 0.507944
12,0.500000,1.000000, 0.177083, 0.454018
13,0.500000,1.000000, 0.250000, 0.478261
14,0.500000,1.000000, 0.145833, 0.474314
15,0.500000,1.000000, 0.135417, 0.480764
16,0.500000,1.000000, 0.020833, 0.468673
17,0.500000,1.000000, 0.281250, 0.465219
18,0.493750,1.000000, 0.177083, 0.460478
19,0.500000,1.000000, 0.322917, 0.491559
0,0.500000,1.000000, 0.072917, 0.481852
1,0.500000,1.000000, 0.197917, 0.479149
2,0.500000,1.000000, 0.218750, 0.525174
3,0.500000,1.000000, 0.156250, 0.486232
4,0.500000,1.000000, 0.052083, 0.512113
5,0.500000,1.000000, 0.010417, 0.486220
6,0.500000,1.000000, 0.208333, 0.487183
7,0.500000,1.000000, 0.083333, 0.514833
8,0.500000,1.000000, 0.052083, 0.491940
9,0.500000,1.000000, 0.052083, 0.489207
10,0.500000,1.000000, 0.104167, 0.454086
11,0.500000,1.000000, 0.333333, 0.503387
12,0.500000,1.000000, 0.208333, 0.455327
13,0.500000,1.000000, 0.020833, 0.486724
14,0.500000,1.000000, 0.010417, 0.471118
15,0.500000,1.000000, 0.010417, 0.477412
16,0.500000,1.000000, 0.260417, 0.467595
17,0.500000,1.000000, 0.208333, 0.467013
18,0.500000,1.000000, 0.270833, 0.453672
19,0.500000,1.000000, 0.208333, 0.496708
0,0.500000,1.000000, 0.177083, 0.478702
1,0.500000,1.000000, 0.145833, 0.479852
2,0.500000,1.000000, 0.156250, 0.524556
3,0.500000,1.000000, 0.020833, 0.484795
4,0.500000,1.000000, 0.000000, 0.510410
5,0.500000,1.000000, 0.072917, 0.494813
6,0.500000,1.000000, 0.239583, 0.479916
7,0.500000,1.000000, 0.062500, 0.516064
8,0.500000,1.000000, 0.114583, 0.486330
9,0.500000,1.000000, 0.093750, 0.483989
10,0.500000,1.000000, 0.260417, 0.458786
11,0.500000,1.000000, 0.218750, 0.500200
12,0.500000,1.000000, 0.166667, 0.460794
13,0.500000,1.000000, 0.135417, 0.487145
14,0.500000,1.000000, 0.041667, 0.470029
15,0.500000,1.000000, 0.020833, 0.479780
16,0.500000,1.000000, 0.208333, 0.468624
17,0.500000,1.000000, 0.291667, 0.465381
18,0.493750,1.000000, 0.145833, 0.449917
19,0.500000,1.000000, 0.250000, 0.493480
0,0.500000,1.000000, 0.145833, 0.477865
1,0.500000,1.000000, 0.072917, 0.476946
2,0.500000,1.000000, 0.187500, 0.530780
1 target_class parameter_mia_accuracy lookalike_accuracy A-Dist JS-Dist
36 10 0.500000 1.000000 0.208333 0.454807
37 11 0.500000 1.000000 0.197917 0.496418
38 12 0.500000 1.000000 0.083333 0.449275
39 13 0.500000 1.000000 0.177083 0.478610
40 14 0.500000 1.000000 0.177083 0.465639
41 15 0.500000 1.000000 0.031250 0.481693
42 16 0.500000 1.000000 0.062500 0.471196
43 17 0.500000 1.000000 0.218750 0.467138
44 18 0.500000 1.000000 0.156250 0.450509
45 19 0.500000 1.000000 0.177083 0.494708
46 0 0.500000 1.000000 0.062500 0.485891
47 1 0.500000 1.000000 0.218750 0.478561
48 2 0.500000 1.000000 0.135417 0.532665
49 3 0.500000 1.000000 0.072917 0.489767
50 4 0.500000 1.000000 0.125000 0.507482
51 5 0.500000 1.000000 0.031250 0.494227
52 6 0.500000 1.000000 0.114583 0.482238
53 7 0.500000 1.000000 0.041667 0.515044
54 8 0.500000 1.000000 0.250000 0.487606
55 9 0.500000 1.000000 0.083333 0.481131
56 10 0.500000 1.000000 0.229167 0.452552
57 11 0.500000 1.000000 0.291667 0.507944
58 12 0.500000 1.000000 0.177083 0.454018
59 13 0.500000 1.000000 0.250000 0.478261
60 14 0.500000 1.000000 0.145833 0.474314
61 15 0.500000 1.000000 0.135417 0.480764
62 16 0.500000 1.000000 0.020833 0.468673
63 17 0.500000 1.000000 0.281250 0.465219
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70
reports/Retrain/RESNET34/forget.csv
View File

@@ -142,3 +142,73 @@ accuracy,macro_precision,macro_recall,macro_f1,weighted_precision,weighted_recal
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70
reports/Retrain/RESNET34/forget_train.csv
View File

@@ -142,3 +142,73 @@ accuracy,macro_precision,macro_recall,macro_f1,weighted_precision,weighted_recal
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1 accuracy macro_precision macro_recall macro_f1 weighted_precision weighted_recall weighted_f1
142 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
143 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
144 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
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178 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
179 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
180 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
181 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
182 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
183 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
184 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
185 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
186 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
187 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
188 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
189 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
190 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
191 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
192 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
193 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
194 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
195 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
196 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
197 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
198 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
199 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
200 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
201 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
202 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
203 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
204 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
205 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
206 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
207 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
208 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
209 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
210 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
211 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
212 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
213 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
214 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

70
reports/Retrain/RESNET34/retain.csv
View File

@@ -142,3 +142,73 @@ accuracy,macro_precision,macro_recall,macro_f1,weighted_precision,weighted_recal
0.9546,0.9554,0.9546,0.9546,0.9554,0.9546,0.9546 0.9546,0.9554,0.9546,0.9546,0.9554,0.9546,0.9546
0.9612,0.9620,0.9612,0.9613,0.9620,0.9612,0.9613 0.9612,0.9620,0.9612,0.9613,0.9620,0.9612,0.9613
0.9539,0.9551,0.9539,0.9540,0.9551,0.9539,0.9540 0.9539,0.9551,0.9539,0.9540,0.9551,0.9539,0.9540
0.9625,0.9638,0.9625,0.9626,0.9638,0.9625,0.9626
0.9533,0.9548,0.9533,0.9535,0.9548,0.9533,0.9535
0.9520,0.9532,0.9520,0.9521,0.9532,0.9520,0.9521
0.9579,0.9586,0.9579,0.9580,0.9586,0.9579,0.9580
0.9566,0.9572,0.9566,0.9566,0.9572,0.9566,0.9566
0.9533,0.9544,0.9533,0.9535,0.9544,0.9533,0.9535
0.9559,0.9570,0.9559,0.9561,0.9570,0.9559,0.9561
0.9559,0.9571,0.9559,0.9560,0.9571,0.9559,0.9560
0.9507,0.9518,0.9507,0.9507,0.9518,0.9507,0.9507
0.9612,0.9622,0.9612,0.9612,0.9622,0.9612,0.9612
0.9553,0.9561,0.9553,0.9552,0.9561,0.9553,0.9552
0.9618,0.9626,0.9618,0.9618,0.9626,0.9618,0.9618
0.9566,0.9586,0.9566,0.9569,0.9586,0.9566,0.9569
0.9533,0.9548,0.9533,0.9535,0.9548,0.9533,0.9535
0.9539,0.9548,0.9539,0.9541,0.9548,0.9539,0.9541
0.9500,0.9511,0.9500,0.9500,0.9511,0.9500,0.9500
0.9566,0.9572,0.9566,0.9565,0.9572,0.9566,0.9565
0.9546,0.9554,0.9546,0.9546,0.9554,0.9546,0.9546
0.9612,0.9620,0.9612,0.9613,0.9620,0.9612,0.9613
0.9539,0.9551,0.9539,0.9540,0.9551,0.9539,0.9540
0.9625,0.9638,0.9625,0.9626,0.9638,0.9625,0.9626
0.9533,0.9548,0.9533,0.9535,0.9548,0.9533,0.9535
0.9520,0.9532,0.9520,0.9521,0.9532,0.9520,0.9521
0.9579,0.9586,0.9579,0.9580,0.9586,0.9579,0.9580
0.9566,0.9572,0.9566,0.9566,0.9572,0.9566,0.9566
0.9533,0.9544,0.9533,0.9535,0.9544,0.9533,0.9535
0.9559,0.9570,0.9559,0.9561,0.9570,0.9559,0.9561
0.9559,0.9571,0.9559,0.9560,0.9571,0.9559,0.9560
0.9507,0.9518,0.9507,0.9507,0.9518,0.9507,0.9507
0.9612,0.9622,0.9612,0.9612,0.9622,0.9612,0.9612
0.9553,0.9561,0.9553,0.9552,0.9561,0.9553,0.9552
0.9618,0.9626,0.9618,0.9618,0.9626,0.9618,0.9618
0.9566,0.9586,0.9566,0.9569,0.9586,0.9566,0.9569
0.9533,0.9548,0.9533,0.9535,0.9548,0.9533,0.9535
0.9539,0.9548,0.9539,0.9541,0.9548,0.9539,0.9541
0.9500,0.9511,0.9500,0.9500,0.9511,0.9500,0.9500
0.9566,0.9572,0.9566,0.9565,0.9572,0.9566,0.9565
0.9546,0.9554,0.9546,0.9546,0.9554,0.9546,0.9546
0.9612,0.9620,0.9612,0.9613,0.9620,0.9612,0.9613
0.9539,0.9551,0.9539,0.9540,0.9551,0.9539,0.9540
0.9625,0.9638,0.9625,0.9626,0.9638,0.9625,0.9626
0.9533,0.9548,0.9533,0.9535,0.9548,0.9533,0.9535
0.9520,0.9532,0.9520,0.9521,0.9532,0.9520,0.9521
0.9579,0.9586,0.9579,0.9580,0.9586,0.9579,0.9580
0.9566,0.9572,0.9566,0.9566,0.9572,0.9566,0.9566
0.9533,0.9544,0.9533,0.9535,0.9544,0.9533,0.9535
0.9559,0.9570,0.9559,0.9561,0.9570,0.9559,0.9561
0.9559,0.9571,0.9559,0.9560,0.9571,0.9559,0.9560
0.9507,0.9518,0.9507,0.9507,0.9518,0.9507,0.9507
0.9612,0.9622,0.9612,0.9612,0.9622,0.9612,0.9612
0.9553,0.9561,0.9553,0.9552,0.9561,0.9553,0.9552
0.9618,0.9626,0.9618,0.9618,0.9626,0.9618,0.9618
0.9566,0.9586,0.9566,0.9569,0.9586,0.9566,0.9569
0.9533,0.9548,0.9533,0.9535,0.9548,0.9533,0.9535
0.9539,0.9548,0.9539,0.9541,0.9548,0.9539,0.9541
0.9500,0.9511,0.9500,0.9500,0.9511,0.9500,0.9500
0.9566,0.9572,0.9566,0.9565,0.9572,0.9566,0.9565
0.9546,0.9554,0.9546,0.9546,0.9554,0.9546,0.9546
0.9612,0.9620,0.9612,0.9613,0.9620,0.9612,0.9613
0.9539,0.9551,0.9539,0.9540,0.9551,0.9539,0.9540
0.9625,0.9638,0.9625,0.9626,0.9638,0.9625,0.9626
0.9533,0.9548,0.9533,0.9535,0.9548,0.9533,0.9535
0.9520,0.9532,0.9520,0.9521,0.9532,0.9520,0.9521
0.9579,0.9586,0.9579,0.9580,0.9586,0.9579,0.9580
0.9566,0.9572,0.9566,0.9566,0.9572,0.9566,0.9566
0.9533,0.9544,0.9533,0.9535,0.9544,0.9533,0.9535
0.9559,0.9570,0.9559,0.9561,0.9570,0.9559,0.9561
0.9559,0.9571,0.9559,0.9560,0.9571,0.9559,0.9560
0.9507,0.9518,0.9507,0.9507,0.9518,0.9507,0.9507
0.9612,0.9622,0.9612,0.9612,0.9622,0.9612,0.9612
1 accuracy macro_precision macro_recall macro_f1 weighted_precision weighted_recall weighted_f1
142 0.9546 0.9554 0.9546 0.9546 0.9554 0.9546 0.9546
143 0.9612 0.9620 0.9612 0.9613 0.9620 0.9612 0.9613
144 0.9539 0.9551 0.9539 0.9540 0.9551 0.9539 0.9540
145 0.9625 0.9638 0.9625 0.9626 0.9638 0.9625 0.9626
146 0.9533 0.9548 0.9533 0.9535 0.9548 0.9533 0.9535
147 0.9520 0.9532 0.9520 0.9521 0.9532 0.9520 0.9521
148 0.9579 0.9586 0.9579 0.9580 0.9586 0.9579 0.9580
149 0.9566 0.9572 0.9566 0.9566 0.9572 0.9566 0.9566
150 0.9533 0.9544 0.9533 0.9535 0.9544 0.9533 0.9535
151 0.9559 0.9570 0.9559 0.9561 0.9570 0.9559 0.9561
152 0.9559 0.9571 0.9559 0.9560 0.9571 0.9559 0.9560
153 0.9507 0.9518 0.9507 0.9507 0.9518 0.9507 0.9507
154 0.9612 0.9622 0.9612 0.9612 0.9622 0.9612 0.9612
155 0.9553 0.9561 0.9553 0.9552 0.9561 0.9553 0.9552
156 0.9618 0.9626 0.9618 0.9618 0.9626 0.9618 0.9618
157 0.9566 0.9586 0.9566 0.9569 0.9586 0.9566 0.9569
158 0.9533 0.9548 0.9533 0.9535 0.9548 0.9533 0.9535
159 0.9539 0.9548 0.9539 0.9541 0.9548 0.9539 0.9541
160 0.9500 0.9511 0.9500 0.9500 0.9511 0.9500 0.9500
161 0.9566 0.9572 0.9566 0.9565 0.9572 0.9566 0.9565
162 0.9546 0.9554 0.9546 0.9546 0.9554 0.9546 0.9546
163 0.9612 0.9620 0.9612 0.9613 0.9620 0.9612 0.9613
164 0.9539 0.9551 0.9539 0.9540 0.9551 0.9539 0.9540
165 0.9625 0.9638 0.9625 0.9626 0.9638 0.9625 0.9626
166 0.9533 0.9548 0.9533 0.9535 0.9548 0.9533 0.9535
167 0.9520 0.9532 0.9520 0.9521 0.9532 0.9520 0.9521
168 0.9579 0.9586 0.9579 0.9580 0.9586 0.9579 0.9580
169 0.9566 0.9572 0.9566 0.9566 0.9572 0.9566 0.9566
170 0.9533 0.9544 0.9533 0.9535 0.9544 0.9533 0.9535
171 0.9559 0.9570 0.9559 0.9561 0.9570 0.9559 0.9561
172 0.9559 0.9571 0.9559 0.9560 0.9571 0.9559 0.9560
173 0.9507 0.9518 0.9507 0.9507 0.9518 0.9507 0.9507
174 0.9612 0.9622 0.9612 0.9612 0.9622 0.9612 0.9612
175 0.9553 0.9561 0.9553 0.9552 0.9561 0.9553 0.9552
176 0.9618 0.9626 0.9618 0.9618 0.9626 0.9618 0.9618
177 0.9566 0.9586 0.9566 0.9569 0.9586 0.9566 0.9569
178 0.9533 0.9548 0.9533 0.9535 0.9548 0.9533 0.9535
179 0.9539 0.9548 0.9539 0.9541 0.9548 0.9539 0.9541
180 0.9500 0.9511 0.9500 0.9500 0.9511 0.9500 0.9500
181 0.9566 0.9572 0.9566 0.9565 0.9572 0.9566 0.9565
182 0.9546 0.9554 0.9546 0.9546 0.9554 0.9546 0.9546
183 0.9612 0.9620 0.9612 0.9613 0.9620 0.9612 0.9613
184 0.9539 0.9551 0.9539 0.9540 0.9551 0.9539 0.9540
185 0.9625 0.9638 0.9625 0.9626 0.9638 0.9625 0.9626
186 0.9533 0.9548 0.9533 0.9535 0.9548 0.9533 0.9535
187 0.9520 0.9532 0.9520 0.9521 0.9532 0.9520 0.9521
188 0.9579 0.9586 0.9579 0.9580 0.9586 0.9579 0.9580
189 0.9566 0.9572 0.9566 0.9566 0.9572 0.9566 0.9566
190 0.9533 0.9544 0.9533 0.9535 0.9544 0.9533 0.9535
191 0.9559 0.9570 0.9559 0.9561 0.9570 0.9559 0.9561
192 0.9559 0.9571 0.9559 0.9560 0.9571 0.9559 0.9560
193 0.9507 0.9518 0.9507 0.9507 0.9518 0.9507 0.9507
194 0.9612 0.9622 0.9612 0.9612 0.9622 0.9612 0.9612
195 0.9553 0.9561 0.9553 0.9552 0.9561 0.9553 0.9552
196 0.9618 0.9626 0.9618 0.9618 0.9626 0.9618 0.9618
197 0.9566 0.9586 0.9566 0.9569 0.9586 0.9566 0.9569
198 0.9533 0.9548 0.9533 0.9535 0.9548 0.9533 0.9535
199 0.9539 0.9548 0.9539 0.9541 0.9548 0.9539 0.9541
200 0.9500 0.9511 0.9500 0.9500 0.9511 0.9500 0.9500
201 0.9566 0.9572 0.9566 0.9565 0.9572 0.9566 0.9565
202 0.9546 0.9554 0.9546 0.9546 0.9554 0.9546 0.9546
203 0.9612 0.9620 0.9612 0.9613 0.9620 0.9612 0.9613
204 0.9539 0.9551 0.9539 0.9540 0.9551 0.9539 0.9540
205 0.9625 0.9638 0.9625 0.9626 0.9638 0.9625 0.9626
206 0.9533 0.9548 0.9533 0.9535 0.9548 0.9533 0.9535
207 0.9520 0.9532 0.9520 0.9521 0.9532 0.9520 0.9521
208 0.9579 0.9586 0.9579 0.9580 0.9586 0.9579 0.9580
209 0.9566 0.9572 0.9566 0.9566 0.9572 0.9566 0.9566
210 0.9533 0.9544 0.9533 0.9535 0.9544 0.9533 0.9535
211 0.9559 0.9570 0.9559 0.9561 0.9570 0.9559 0.9561
212 0.9559 0.9571 0.9559 0.9560 0.9571 0.9559 0.9560
213 0.9507 0.9518 0.9507 0.9507 0.9518 0.9507 0.9507
214 0.9612 0.9622 0.9612 0.9612 0.9622 0.9612 0.9612

70
reports/Retrain/attack_values.csv
View File

@@ -39,3 +39,73 @@ target_class, parameter_mia_accuracy, lookalike_accuracy, A-Dist, JS-Dist
10,0.500000,0.000000, 0.072917, 0.000000 10,0.500000,0.000000, 0.072917, 0.000000
11,0.500000,0.000000, 0.072917, 0.000000 11,0.500000,0.000000, 0.072917, 0.000000
12,0.500000,0.000000, 0.125000, 0.000000 12,0.500000,0.000000, 0.125000, 0.000000
13,0.500000,0.000000, 0.093750, 0.000000
14,0.500000,0.000000, 0.041667, 0.000000
15,0.500000,0.000000, 0.041667, 0.000000
16,0.500000,0.000000, 0.177083, 0.000000
17,0.500000,0.000000, 0.072917, 0.000000
18,0.500000,0.000000, 0.083333, 0.000000
19,0.500000,0.000000, 0.031250, 0.000000
0,0.500000,0.000000, 0.093750, 0.000000
1,0.500000,0.000000, 0.114583, 0.000000
2,0.500000,0.000000, 0.041667, 0.000000
3,0.500000,0.000000, 0.062500, 0.000000
4,0.500000,0.000000, 0.166667, 0.000000
5,0.500000,0.000000, 0.114583, 0.000000
6,0.500000,0.000000, 0.145833, 0.000000
7,0.500000,0.000000, 0.468750, 0.000000
8,0.500000,0.000000, 0.072917, 0.000000
9,0.500000,0.000000, 0.031250, 0.000000
10,0.500000,0.000000, 0.135417, 0.000000
11,0.500000,0.000000, 0.125000, 0.000000
12,0.500000,0.000000, 0.093750, 0.000000
13,0.500000,0.000000, 0.062500, 0.000000
14,0.500000,0.000000, 0.072917, 0.000000
15,0.500000,0.000000, 0.072917, 0.000000
16,0.500000,0.000000, 0.062500, 0.000000
17,0.500000,0.000000, 0.031250, 0.000000
18,0.500000,0.000000, 0.125000, 0.000000
19,0.500000,0.000000, 0.031250, 0.000000
0,0.500000,0.000000, 0.020833, 0.000000
1,0.500000,0.000000, 0.104167, 0.000000
2,0.500000,0.000000, 0.072917, 0.000000
3,0.500000,0.000000, 0.041667, 0.000000
4,0.500000,0.000000, 0.125000, 0.000000
5,0.500000,0.000000, 0.114583, 0.000000
6,0.500000,0.000000, 0.093750, 0.000000
7,0.500000,0.000000, 0.000000, 0.000000
8,0.500000,0.000000, 0.010417, 0.000000
9,0.500000,0.000000, 0.093750, 0.000000
10,0.500000,0.000000, 0.093750, 0.000000
11,0.500000,0.000000, 0.135417, 0.000000
12,0.500000,0.000000, 0.072917, 0.000000
13,0.500000,0.000000, 0.072917, 0.000000
14,0.500000,0.000000, 0.093750, 0.000000
15,0.500000,0.000000, 0.083333, 0.000000
16,0.500000,0.000000, 0.114583, 0.000000
17,0.500000,0.000000, 0.010417, 0.000000
18,0.550000,0.000000, 0.020833, 0.000000
19,0.500000,0.000000, 0.093750, 0.000000
0,0.500000,0.000000, 0.135417, 0.000000
1,0.500000,0.000000, 0.135417, 0.000000
2,0.500000,0.000000, 0.052083, 0.000000
3,0.500000,0.000000, 0.072917, 0.000000
4,0.500000,0.000000, 0.156250, 0.000000
5,0.500000,0.000000, 0.083333, 0.000000
6,0.500000,0.000000, 0.104167, 0.000000
7,0.500000,0.000000, 0.135417, 0.000000
8,0.500000,0.000000, 0.250000, 0.000000
9,0.500000,0.000000, 0.135417, 0.000000
10,0.500000,0.000000, 0.104167, 0.000000
11,0.500000,0.000000, 0.062500, 0.000000
12,0.500000,0.000000, 0.031250, 0.000000
13,0.500000,0.000000, 0.052083, 0.000000
14,0.500000,0.000000, 0.072917, 0.000000
15,0.500000,0.000000, 0.083333, 0.000000
16,0.500000,0.000000, 0.156250, 0.000000
17,0.500000,0.000000, 0.125000, 0.000000
18,0.500000,0.000000, 0.114583, 0.000000
19,0.500000,0.000000, 0.104167, 0.000000
0,0.500000,0.000000, 0.031250, 0.000000
1,0.500000,0.000000, 0.072917, 0.000000
2,0.500000,0.000000, 0.104167, 0.000000
1 target_class parameter_mia_accuracy lookalike_accuracy A-Dist JS-Dist
39 10 0.500000 0.000000 0.072917 0.000000
40 11 0.500000 0.000000 0.072917 0.000000
41 12 0.500000 0.000000 0.125000 0.000000
42 13 0.500000 0.000000 0.093750 0.000000
43 14 0.500000 0.000000 0.041667 0.000000
44 15 0.500000 0.000000 0.041667 0.000000
45 16 0.500000 0.000000 0.177083 0.000000
46 17 0.500000 0.000000 0.072917 0.000000
47 18 0.500000 0.000000 0.083333 0.000000
48 19 0.500000 0.000000 0.031250 0.000000
49 0 0.500000 0.000000 0.093750 0.000000
50 1 0.500000 0.000000 0.114583 0.000000
51 2 0.500000 0.000000 0.041667 0.000000
52 3 0.500000 0.000000 0.062500 0.000000
53 4 0.500000 0.000000 0.166667 0.000000
54 5 0.500000 0.000000 0.114583 0.000000
55 6 0.500000 0.000000 0.145833 0.000000
56 7 0.500000 0.000000 0.468750 0.000000
57 8 0.500000 0.000000 0.072917 0.000000
58 9 0.500000 0.000000 0.031250 0.000000
59 10 0.500000 0.000000 0.135417 0.000000
60 11 0.500000 0.000000 0.125000 0.000000
61 12 0.500000 0.000000 0.093750 0.000000
62 13 0.500000 0.000000 0.062500 0.000000
63 14 0.500000 0.000000 0.072917 0.000000
64 15 0.500000 0.000000 0.072917 0.000000
65 16 0.500000 0.000000 0.062500 0.000000
66 17 0.500000 0.000000 0.031250 0.000000
67 18 0.500000 0.000000 0.125000 0.000000
68 19 0.500000 0.000000 0.031250 0.000000
69 0 0.500000 0.000000 0.020833 0.000000
70 1 0.500000 0.000000 0.104167 0.000000
71 2 0.500000 0.000000 0.072917 0.000000
72 3 0.500000 0.000000 0.041667 0.000000
73 4 0.500000 0.000000 0.125000 0.000000
74 5 0.500000 0.000000 0.114583 0.000000
75 6 0.500000 0.000000 0.093750 0.000000
76 7 0.500000 0.000000 0.000000 0.000000
77 8 0.500000 0.000000 0.010417 0.000000
78 9 0.500000 0.000000 0.093750 0.000000
79 10 0.500000 0.000000 0.093750 0.000000
80 11 0.500000 0.000000 0.135417 0.000000
81 12 0.500000 0.000000 0.072917 0.000000
82 13 0.500000 0.000000 0.072917 0.000000
83 14 0.500000 0.000000 0.093750 0.000000
84 15 0.500000 0.000000 0.083333 0.000000
85 16 0.500000 0.000000 0.114583 0.000000
86 17 0.500000 0.000000 0.010417 0.000000
87 18 0.550000 0.000000 0.020833 0.000000
88 19 0.500000 0.000000 0.093750 0.000000
89 0 0.500000 0.000000 0.135417 0.000000
90 1 0.500000 0.000000 0.135417 0.000000
91 2 0.500000 0.000000 0.052083 0.000000
92 3 0.500000 0.000000 0.072917 0.000000
93 4 0.500000 0.000000 0.156250 0.000000
94 5 0.500000 0.000000 0.083333 0.000000
95 6 0.500000 0.000000 0.104167 0.000000
96 7 0.500000 0.000000 0.135417 0.000000
97 8 0.500000 0.000000 0.250000 0.000000
98 9 0.500000 0.000000 0.135417 0.000000
99 10 0.500000 0.000000 0.104167 0.000000
100 11 0.500000 0.000000 0.062500 0.000000
101 12 0.500000 0.000000 0.031250 0.000000
102 13 0.500000 0.000000 0.052083 0.000000
103 14 0.500000 0.000000 0.072917 0.000000
104 15 0.500000 0.000000 0.083333 0.000000
105 16 0.500000 0.000000 0.156250 0.000000
106 17 0.500000 0.000000 0.125000 0.000000
107 18 0.500000 0.000000 0.114583 0.000000
108 19 0.500000 0.000000 0.104167 0.000000
109 0 0.500000 0.000000 0.031250 0.000000
110 1 0.500000 0.000000 0.072917 0.000000
111 2 0.500000 0.000000 0.104167 0.000000

70
reports/WeightFiltration/RESNET34/forget.csv
View File

@@ -600,3 +600,73 @@ accuracy,macro_precision,macro_recall,macro_f1,weighted_precision,weighted_recal
0.0125,1.0000,0.0125,0.0247,1.0000,0.0125,0.0247 0.0125,1.0000,0.0125,0.0247,1.0000,0.0125,0.0247
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0125,1.0000,0.0125,0.0247,1.0000,0.0125,0.0247 0.0125,1.0000,0.0125,0.0247,1.0000,0.0125,0.0247
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.1000,1.0000,0.1000,0.1818,1.0000,0.1000,0.1818
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.1625,1.0000,0.1625,0.2796,1.0000,0.1625,0.2796
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.1000,1.0000,0.1000,0.1818,1.0000,0.1000,0.1818
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0125,1.0000,0.0125,0.0247,1.0000,0.0125,0.0247
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0250,1.0000,0.0250,0.0488,1.0000,0.0250,0.0488
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0125,1.0000,0.0125,0.0247,1.0000,0.0125,0.0247
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0250,1.0000,0.0250,0.0488,1.0000,0.0250,0.0488
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.2250,1.0000,0.2250,0.3673,1.0000,0.2250,0.3673
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0625,1.0000,0.0625,0.1176,1.0000,0.0625,0.1176
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
1 accuracy macro_precision macro_recall macro_f1 weighted_precision weighted_recall weighted_f1
600 0.0125 1.0000 0.0125 0.0247 1.0000 0.0125 0.0247
601 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
602 0.0125 1.0000 0.0125 0.0247 1.0000 0.0125 0.0247
603 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
604 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
605 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
606 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
607 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
608 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
609 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
610 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
611 0.1000 1.0000 0.1000 0.1818 1.0000 0.1000 0.1818
612 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
613 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
614 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
615 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
616 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
617 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
618 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
619 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
620 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
621 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
622 0.1625 1.0000 0.1625 0.2796 1.0000 0.1625 0.2796
623 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
624 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
625 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
626 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
627 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
628 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
629 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
630 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
631 0.1000 1.0000 0.1000 0.1818 1.0000 0.1000 0.1818
632 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
633 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
634 0.0125 1.0000 0.0125 0.0247 1.0000 0.0125 0.0247
635 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
636 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
637 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
638 0.0250 1.0000 0.0250 0.0488 1.0000 0.0250 0.0488
639 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
640 0.0125 1.0000 0.0125 0.0247 1.0000 0.0125 0.0247
641 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
642 0.0250 1.0000 0.0250 0.0488 1.0000 0.0250 0.0488
643 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
644 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
645 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
646 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
647 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
648 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
649 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
650 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
651 0.2250 1.0000 0.2250 0.3673 1.0000 0.2250 0.3673
652 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
653 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
654 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
655 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
656 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
657 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
658 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
659 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
660 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
661 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
662 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
663 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
664 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
665 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
666 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
667 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
668 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
669 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
670 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
671 0.0625 1.0000 0.0625 0.1176 1.0000 0.0625 0.1176
672 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

70
reports/WeightFiltration/RESNET34/forget_train.csv
View File

@@ -600,3 +600,73 @@ accuracy,macro_precision,macro_recall,macro_f1,weighted_precision,weighted_recal
0.0187,1.0000,0.0187,0.0368,1.0000,0.0187,0.0368 0.0187,1.0000,0.0187,0.0368,1.0000,0.0187,0.0368
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0094,1.0000,0.0094,0.0186,1.0000,0.0094,0.0186 0.0094,1.0000,0.0094,0.0186,1.0000,0.0094,0.0186
0.0031,1.0000,0.0031,0.0062,1.0000,0.0031,0.0062
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0094,1.0000,0.0094,0.0186,1.0000,0.0094,0.0186
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0813,1.0000,0.0813,0.1503,1.0000,0.0813,0.1503
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0281,1.0000,0.0281,0.0547,1.0000,0.0281,0.0547
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.1625,1.0000,0.1625,0.2796,1.0000,0.1625,0.2796
0.0094,1.0000,0.0094,0.0186,1.0000,0.0094,0.0186
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0906,1.0000,0.0906,0.1662,1.0000,0.0906,0.1662
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0063,1.0000,0.0063,0.0124,1.0000,0.0063,0.0124
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0406,1.0000,0.0406,0.0781,1.0000,0.0406,0.0781
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0344,1.0000,0.0344,0.0665,1.0000,0.0344,0.0665
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0469,1.0000,0.0469,0.0896,1.0000,0.0469,0.0896
0.0031,1.0000,0.0031,0.0062,1.0000,0.0031,0.0062
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.2875,1.0000,0.2875,0.4466,1.0000,0.2875,0.4466
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0094,1.0000,0.0094,0.0186,1.0000,0.0094,0.0186
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0094,1.0000,0.0094,0.0186,1.0000,0.0094,0.0186
0.0031,1.0000,0.0031,0.0062,1.0000,0.0031,0.0062
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0063,1.0000,0.0063,0.0124,1.0000,0.0063,0.0124
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0844,1.0000,0.0844,0.1556,1.0000,0.0844,0.1556
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
1 accuracy macro_precision macro_recall macro_f1 weighted_precision weighted_recall weighted_f1
600 0.0187 1.0000 0.0187 0.0368 1.0000 0.0187 0.0368
601 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
602 0.0094 1.0000 0.0094 0.0186 1.0000 0.0094 0.0186
603 0.0031 1.0000 0.0031 0.0062 1.0000 0.0031 0.0062
604 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
605 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
606 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
607 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
608 0.0094 1.0000 0.0094 0.0186 1.0000 0.0094 0.0186
609 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
610 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
611 0.0813 1.0000 0.0813 0.1503 1.0000 0.0813 0.1503
612 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
613 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
614 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
615 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
616 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
617 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
618 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
619 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
620 0.0281 1.0000 0.0281 0.0547 1.0000 0.0281 0.0547
621 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
622 0.1625 1.0000 0.1625 0.2796 1.0000 0.1625 0.2796
623 0.0094 1.0000 0.0094 0.0186 1.0000 0.0094 0.0186
624 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
625 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
626 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
627 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
628 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
629 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
630 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
631 0.0906 1.0000 0.0906 0.1662 1.0000 0.0906 0.1662
632 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
633 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
634 0.0063 1.0000 0.0063 0.0124 1.0000 0.0063 0.0124
635 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
636 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
637 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
638 0.0406 1.0000 0.0406 0.0781 1.0000 0.0406 0.0781
639 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
640 0.0344 1.0000 0.0344 0.0665 1.0000 0.0344 0.0665
641 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
642 0.0469 1.0000 0.0469 0.0896 1.0000 0.0469 0.0896
643 0.0031 1.0000 0.0031 0.0062 1.0000 0.0031 0.0062
644 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
645 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
646 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
647 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
648 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
649 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
650 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
651 0.2875 1.0000 0.2875 0.4466 1.0000 0.2875 0.4466
652 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
653 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
654 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
655 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
656 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
657 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
658 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
659 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
660 0.0094 1.0000 0.0094 0.0186 1.0000 0.0094 0.0186
661 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
662 0.0094 1.0000 0.0094 0.0186 1.0000 0.0094 0.0186
663 0.0031 1.0000 0.0031 0.0062 1.0000 0.0031 0.0062
664 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
665 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
666 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
667 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
668 0.0063 1.0000 0.0063 0.0124 1.0000 0.0063 0.0124
669 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
670 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
671 0.0844 1.0000 0.0844 0.1556 1.0000 0.0844 0.1556
672 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

70
reports/WeightFiltration/RESNET34/retain.csv
View File

@@ -600,3 +600,73 @@ accuracy,macro_precision,macro_recall,macro_f1,weighted_precision,weighted_recal
0.9539,0.9556,0.9539,0.9542,0.9556,0.9539,0.9542 0.9539,0.9556,0.9539,0.9542,0.9556,0.9539,0.9542
0.9539,0.9559,0.9539,0.9543,0.9559,0.9539,0.9543 0.9539,0.9559,0.9539,0.9543,0.9559,0.9539,0.9543
0.9500,0.9518,0.9500,0.9503,0.9518,0.9500,0.9503 0.9500,0.9518,0.9500,0.9503,0.9518,0.9500,0.9503
0.9533,0.9547,0.9533,0.9535,0.9547,0.9533,0.9535
0.9546,0.9558,0.9546,0.9547,0.9558,0.9546,0.9547
0.9520,0.9539,0.9520,0.9522,0.9539,0.9520,0.9522
0.9493,0.9515,0.9493,0.9497,0.9515,0.9493,0.9497
0.9520,0.9543,0.9520,0.9523,0.9543,0.9520,0.9523
0.9520,0.9531,0.9520,0.9521,0.9531,0.9520,0.9521
0.9533,0.9546,0.9533,0.9535,0.9546,0.9533,0.9535
0.9533,0.9554,0.9533,0.9537,0.9554,0.9533,0.9537
0.9520,0.9540,0.9520,0.9523,0.9540,0.9520,0.9523
0.9513,0.9523,0.9513,0.9513,0.9523,0.9513,0.9513
0.9533,0.9551,0.9533,0.9536,0.9551,0.9533,0.9536
0.9572,0.9590,0.9572,0.9576,0.9590,0.9572,0.9576
0.9566,0.9583,0.9566,0.9568,0.9583,0.9566,0.9568
0.9533,0.9548,0.9533,0.9536,0.9548,0.9533,0.9536
0.9487,0.9518,0.9487,0.9493,0.9518,0.9487,0.9493
0.9539,0.9551,0.9539,0.9541,0.9551,0.9539,0.9541
0.9520,0.9534,0.9520,0.9522,0.9534,0.9520,0.9522
0.9546,0.9561,0.9546,0.9548,0.9561,0.9546,0.9548
0.9539,0.9559,0.9539,0.9543,0.9559,0.9539,0.9543
0.9500,0.9518,0.9500,0.9503,0.9518,0.9500,0.9503
0.9533,0.9547,0.9533,0.9535,0.9547,0.9533,0.9535
0.9546,0.9558,0.9546,0.9547,0.9558,0.9546,0.9547
0.9520,0.9539,0.9520,0.9522,0.9539,0.9520,0.9522
0.9487,0.9509,0.9487,0.9490,0.9509,0.9487,0.9490
0.9513,0.9536,0.9513,0.9516,0.9536,0.9513,0.9516
0.9513,0.9526,0.9513,0.9514,0.9526,0.9513,0.9514
0.9533,0.9546,0.9533,0.9535,0.9546,0.9533,0.9535
0.9513,0.9536,0.9513,0.9517,0.9536,0.9513,0.9517
0.9520,0.9540,0.9520,0.9523,0.9540,0.9520,0.9523
0.9513,0.9522,0.9513,0.9514,0.9522,0.9513,0.9514
0.9533,0.9550,0.9533,0.9536,0.9550,0.9533,0.9536
0.9579,0.9597,0.9579,0.9582,0.9597,0.9579,0.9582
0.9566,0.9584,0.9566,0.9568,0.9584,0.9566,0.9568
0.9539,0.9555,0.9539,0.9542,0.9555,0.9539,0.9542
0.9500,0.9531,0.9500,0.9506,0.9531,0.9500,0.9506
0.9553,0.9565,0.9553,0.9554,0.9565,0.9553,0.9554
0.9520,0.9534,0.9520,0.9522,0.9534,0.9520,0.9522
0.9546,0.9561,0.9546,0.9548,0.9561,0.9546,0.9548
0.9539,0.9559,0.9539,0.9543,0.9559,0.9539,0.9543
0.9500,0.9518,0.9500,0.9503,0.9518,0.9500,0.9503
0.9533,0.9547,0.9533,0.9535,0.9547,0.9533,0.9535
0.9546,0.9558,0.9546,0.9547,0.9558,0.9546,0.9547
0.9520,0.9539,0.9520,0.9522,0.9539,0.9520,0.9522
0.9487,0.9508,0.9487,0.9490,0.9508,0.9487,0.9490
0.9520,0.9542,0.9520,0.9523,0.9542,0.9520,0.9523
0.9507,0.9519,0.9507,0.9507,0.9519,0.9507,0.9507
0.9533,0.9545,0.9533,0.9535,0.9545,0.9533,0.9535
0.9513,0.9536,0.9513,0.9517,0.9536,0.9513,0.9517
0.9520,0.9542,0.9520,0.9524,0.9542,0.9520,0.9524
0.9513,0.9523,0.9513,0.9514,0.9523,0.9513,0.9514
0.9539,0.9555,0.9539,0.9541,0.9555,0.9539,0.9541
0.9572,0.9590,0.9572,0.9576,0.9590,0.9572,0.9576
0.9566,0.9583,0.9566,0.9568,0.9583,0.9566,0.9568
0.9539,0.9555,0.9539,0.9542,0.9555,0.9539,0.9542
0.9500,0.9528,0.9500,0.9505,0.9528,0.9500,0.9505
0.9539,0.9552,0.9539,0.9541,0.9552,0.9539,0.9541
0.9526,0.9539,0.9526,0.9529,0.9539,0.9526,0.9529
0.9533,0.9549,0.9533,0.9536,0.9549,0.9533,0.9536
0.9539,0.9559,0.9539,0.9543,0.9559,0.9539,0.9543
0.9507,0.9524,0.9507,0.9509,0.9524,0.9507,0.9509
0.9533,0.9547,0.9533,0.9535,0.9547,0.9533,0.9535
0.9546,0.9559,0.9546,0.9547,0.9559,0.9546,0.9547
0.9513,0.9532,0.9513,0.9516,0.9532,0.9513,0.9516
0.9493,0.9515,0.9493,0.9496,0.9515,0.9493,0.9496
0.9513,0.9535,0.9513,0.9516,0.9535,0.9513,0.9516
0.9520,0.9532,0.9520,0.9520,0.9532,0.9520,0.9520
0.9533,0.9546,0.9533,0.9535,0.9546,0.9533,0.9535
0.9513,0.9536,0.9513,0.9517,0.9536,0.9513,0.9517
0.9520,0.9538,0.9520,0.9523,0.9538,0.9520,0.9523
0.9513,0.9523,0.9513,0.9514,0.9523,0.9513,0.9514
1 accuracy macro_precision macro_recall macro_f1 weighted_precision weighted_recall weighted_f1
600 0.9539 0.9556 0.9539 0.9542 0.9556 0.9539 0.9542
601 0.9539 0.9559 0.9539 0.9543 0.9559 0.9539 0.9543
602 0.9500 0.9518 0.9500 0.9503 0.9518 0.9500 0.9503
603 0.9533 0.9547 0.9533 0.9535 0.9547 0.9533 0.9535
604 0.9546 0.9558 0.9546 0.9547 0.9558 0.9546 0.9547
605 0.9520 0.9539 0.9520 0.9522 0.9539 0.9520 0.9522
606 0.9493 0.9515 0.9493 0.9497 0.9515 0.9493 0.9497
607 0.9520 0.9543 0.9520 0.9523 0.9543 0.9520 0.9523
608 0.9520 0.9531 0.9520 0.9521 0.9531 0.9520 0.9521
609 0.9533 0.9546 0.9533 0.9535 0.9546 0.9533 0.9535
610 0.9533 0.9554 0.9533 0.9537 0.9554 0.9533 0.9537
611 0.9520 0.9540 0.9520 0.9523 0.9540 0.9520 0.9523
612 0.9513 0.9523 0.9513 0.9513 0.9523 0.9513 0.9513
613 0.9533 0.9551 0.9533 0.9536 0.9551 0.9533 0.9536
614 0.9572 0.9590 0.9572 0.9576 0.9590 0.9572 0.9576
615 0.9566 0.9583 0.9566 0.9568 0.9583 0.9566 0.9568
616 0.9533 0.9548 0.9533 0.9536 0.9548 0.9533 0.9536
617 0.9487 0.9518 0.9487 0.9493 0.9518 0.9487 0.9493
618 0.9539 0.9551 0.9539 0.9541 0.9551 0.9539 0.9541
619 0.9520 0.9534 0.9520 0.9522 0.9534 0.9520 0.9522
620 0.9546 0.9561 0.9546 0.9548 0.9561 0.9546 0.9548
621 0.9539 0.9559 0.9539 0.9543 0.9559 0.9539 0.9543
622 0.9500 0.9518 0.9500 0.9503 0.9518 0.9500 0.9503
623 0.9533 0.9547 0.9533 0.9535 0.9547 0.9533 0.9535
624 0.9546 0.9558 0.9546 0.9547 0.9558 0.9546 0.9547
625 0.9520 0.9539 0.9520 0.9522 0.9539 0.9520 0.9522
626 0.9487 0.9509 0.9487 0.9490 0.9509 0.9487 0.9490
627 0.9513 0.9536 0.9513 0.9516 0.9536 0.9513 0.9516
628 0.9513 0.9526 0.9513 0.9514 0.9526 0.9513 0.9514
629 0.9533 0.9546 0.9533 0.9535 0.9546 0.9533 0.9535
630 0.9513 0.9536 0.9513 0.9517 0.9536 0.9513 0.9517
631 0.9520 0.9540 0.9520 0.9523 0.9540 0.9520 0.9523
632 0.9513 0.9522 0.9513 0.9514 0.9522 0.9513 0.9514
633 0.9533 0.9550 0.9533 0.9536 0.9550 0.9533 0.9536
634 0.9579 0.9597 0.9579 0.9582 0.9597 0.9579 0.9582
635 0.9566 0.9584 0.9566 0.9568 0.9584 0.9566 0.9568
636 0.9539 0.9555 0.9539 0.9542 0.9555 0.9539 0.9542
637 0.9500 0.9531 0.9500 0.9506 0.9531 0.9500 0.9506
638 0.9553 0.9565 0.9553 0.9554 0.9565 0.9553 0.9554
639 0.9520 0.9534 0.9520 0.9522 0.9534 0.9520 0.9522
640 0.9546 0.9561 0.9546 0.9548 0.9561 0.9546 0.9548
641 0.9539 0.9559 0.9539 0.9543 0.9559 0.9539 0.9543
642 0.9500 0.9518 0.9500 0.9503 0.9518 0.9500 0.9503
643 0.9533 0.9547 0.9533 0.9535 0.9547 0.9533 0.9535
644 0.9546 0.9558 0.9546 0.9547 0.9558 0.9546 0.9547
645 0.9520 0.9539 0.9520 0.9522 0.9539 0.9520 0.9522
646 0.9487 0.9508 0.9487 0.9490 0.9508 0.9487 0.9490
647 0.9520 0.9542 0.9520 0.9523 0.9542 0.9520 0.9523
648 0.9507 0.9519 0.9507 0.9507 0.9519 0.9507 0.9507
649 0.9533 0.9545 0.9533 0.9535 0.9545 0.9533 0.9535
650 0.9513 0.9536 0.9513 0.9517 0.9536 0.9513 0.9517
651 0.9520 0.9542 0.9520 0.9524 0.9542 0.9520 0.9524
652 0.9513 0.9523 0.9513 0.9514 0.9523 0.9513 0.9514
653 0.9539 0.9555 0.9539 0.9541 0.9555 0.9539 0.9541
654 0.9572 0.9590 0.9572 0.9576 0.9590 0.9572 0.9576
655 0.9566 0.9583 0.9566 0.9568 0.9583 0.9566 0.9568
656 0.9539 0.9555 0.9539 0.9542 0.9555 0.9539 0.9542
657 0.9500 0.9528 0.9500 0.9505 0.9528 0.9500 0.9505
658 0.9539 0.9552 0.9539 0.9541 0.9552 0.9539 0.9541
659 0.9526 0.9539 0.9526 0.9529 0.9539 0.9526 0.9529
660 0.9533 0.9549 0.9533 0.9536 0.9549 0.9533 0.9536
661 0.9539 0.9559 0.9539 0.9543 0.9559 0.9539 0.9543
662 0.9507 0.9524 0.9507 0.9509 0.9524 0.9507 0.9509
663 0.9533 0.9547 0.9533 0.9535 0.9547 0.9533 0.9535
664 0.9546 0.9559 0.9546 0.9547 0.9559 0.9546 0.9547
665 0.9513 0.9532 0.9513 0.9516 0.9532 0.9513 0.9516
666 0.9493 0.9515 0.9493 0.9496 0.9515 0.9493 0.9496
667 0.9513 0.9535 0.9513 0.9516 0.9535 0.9513 0.9516
668 0.9520 0.9532 0.9520 0.9520 0.9532 0.9520 0.9520
669 0.9533 0.9546 0.9533 0.9535 0.9546 0.9533 0.9535
670 0.9513 0.9536 0.9513 0.9517 0.9536 0.9513 0.9517
671 0.9520 0.9538 0.9520 0.9523 0.9538 0.9520 0.9523
672 0.9513 0.9523 0.9513 0.9514 0.9523 0.9513 0.9514

70
reports/WeightFiltration/attack_values.csv
View File

@@ -36,3 +36,73 @@ target_class, parameter_mia_accuracy, lookalike_accuracy, A-Dist, JS-Dist
10,0.500000,0.937500, 0.135417, 0.490381 10,0.500000,0.937500, 0.135417, 0.490381
11,0.500000,0.925000, 0.239583, 0.548656 11,0.500000,0.925000, 0.239583, 0.548656
12,0.500000,0.954167, 0.104167, 0.515086 12,0.500000,0.954167, 0.104167, 0.515086
13,0.500000,0.947917, 0.239583, 0.534527
14,0.500000,0.943750, 0.187500, 0.549692
15,0.500000,0.939583, 0.177083, 0.538563
16,0.500000,0.939583, 0.302083, 0.550387
17,0.500000,0.937500, 0.020833, 0.534927
18,0.500000,0.943750, 0.062500, 0.525926
19,0.500000,0.966667, 0.072917, 0.550368
0,0.500000,0.950000, 0.010417, 0.539187
1,0.500000,0.920833, 0.083333, 0.532476
2,0.500000,0.939583, 0.010417, 0.563573
3,0.500000,0.947917, 0.062500, 0.565630
4,0.500000,0.968750, 0.031250, 0.572755
5,0.500000,0.952083, 0.072917, 0.558786
6,0.500000,0.947917, 0.010417, 0.526097
7,0.500000,0.935417, 0.031250, 0.609396
8,0.500000,0.977083, 0.083333, 0.531147
9,0.500000,0.950000, 0.208333, 0.535584
10,0.500000,0.937500, 0.072917, 0.489855
11,0.500000,0.964583, 0.072917, 0.549640
12,0.500000,0.960417, 0.000000, 0.519796
13,0.500000,0.950000, 0.166667, 0.531902
14,0.500000,0.933333, 0.270833, 0.544382
15,0.500000,0.939583, 0.322917, 0.539786
16,0.500000,0.947917, 0.312500, 0.551968
17,0.500000,0.945833, 0.041667, 0.535604
18,0.500000,0.952083, 0.031250, 0.529436
19,0.500000,0.966667, 0.072917, 0.554195
0,0.500000,0.950000, 0.125000, 0.533747
1,0.500000,0.918750, 0.010417, 0.530306
2,0.500000,0.927083, 0.010417, 0.564333
3,0.500000,0.950000, 0.052083, 0.560864
4,0.500000,0.945833, 0.187500, 0.573512
5,0.500000,0.952083, 0.135417, 0.557525
6,0.500000,0.950000, 0.125000, 0.529118
7,0.500000,0.922917, 0.114583, 0.607466
8,0.500000,0.937500, 0.083333, 0.535555
9,0.500000,0.954167, 0.062500, 0.534876
10,0.500000,0.937500, 0.104167, 0.493227
11,0.500000,0.925000, 0.281250, 0.550555
12,0.500000,0.950000, 0.093750, 0.516082
13,0.500000,0.950000, 0.166667, 0.540771
14,0.500000,0.941667, 0.187500, 0.545515
15,0.500000,0.945833, 0.218750, 0.534969
16,0.500000,0.943750, 0.395833, 0.552199
17,0.500000,0.947917, 0.125000, 0.536930
18,0.500000,0.941667, 0.104167, 0.530283
19,0.500000,0.966667, 0.000000, 0.548011
0,0.500000,0.960417, 0.125000, 0.532006
1,0.500000,0.910417, 0.010417, 0.536290
2,0.500000,0.929167, 0.062500, 0.563630
3,0.500000,0.962500, 0.135417, 0.566771
4,0.500000,0.968750, 0.239583, 0.573766
5,0.500000,0.954167, 0.093750, 0.560717
6,0.500000,0.950000, 0.177083, 0.529426
7,0.500000,0.943750, 0.010417, 0.608156
8,0.500000,0.960417, 0.041667, 0.530703
9,0.500000,0.950000, 0.114583, 0.533561
10,0.500000,0.937500, 0.041667, 0.489375
11,0.500000,0.920833, 0.343750, 0.554261
12,0.500000,0.960417, 0.187500, 0.517192
13,0.500000,0.952083, 0.145833, 0.542150
14,0.500000,0.941667, 0.125000, 0.546994
15,0.500000,0.945833, 0.072917, 0.537957
16,0.500000,0.935417, 0.333333, 0.548728
17,0.500000,0.937500, 0.093750, 0.532926
18,0.500000,0.937500, 0.031250, 0.532182
19,0.500000,0.962500, 0.041667, 0.552156
0,0.500000,0.960417, 0.031250, 0.534253
1,0.500000,0.910417, 0.000000, 0.534778
2,0.500000,0.922917, 0.000000, 0.560311
1 target_class parameter_mia_accuracy lookalike_accuracy A-Dist JS-Dist
36 10 0.500000 0.937500 0.135417 0.490381
37 11 0.500000 0.925000 0.239583 0.548656
38 12 0.500000 0.954167 0.104167 0.515086
39 13 0.500000 0.947917 0.239583 0.534527
40 14 0.500000 0.943750 0.187500 0.549692
41 15 0.500000 0.939583 0.177083 0.538563
42 16 0.500000 0.939583 0.302083 0.550387
43 17 0.500000 0.937500 0.020833 0.534927
44 18 0.500000 0.943750 0.062500 0.525926
45 19 0.500000 0.966667 0.072917 0.550368
46 0 0.500000 0.950000 0.010417 0.539187
47 1 0.500000 0.920833 0.083333 0.532476
48 2 0.500000 0.939583 0.010417 0.563573
49 3 0.500000 0.947917 0.062500 0.565630
50 4 0.500000 0.968750 0.031250 0.572755
51 5 0.500000 0.952083 0.072917 0.558786
52 6 0.500000 0.947917 0.010417 0.526097
53 7 0.500000 0.935417 0.031250 0.609396
54 8 0.500000 0.977083 0.083333 0.531147
55 9 0.500000 0.950000 0.208333 0.535584
56 10 0.500000 0.937500 0.072917 0.489855
57 11 0.500000 0.964583 0.072917 0.549640
58 12 0.500000 0.960417 0.000000 0.519796
59 13 0.500000 0.950000 0.166667 0.531902
60 14 0.500000 0.933333 0.270833 0.544382
61 15 0.500000 0.939583 0.322917 0.539786
62 16 0.500000 0.947917 0.312500 0.551968
63 17 0.500000 0.945833 0.041667 0.535604
64 18 0.500000 0.952083 0.031250 0.529436
65 19 0.500000 0.966667 0.072917 0.554195
66 0 0.500000 0.950000 0.125000 0.533747
67 1 0.500000 0.918750 0.010417 0.530306
68 2 0.500000 0.927083 0.010417 0.564333
69 3 0.500000 0.950000 0.052083 0.560864
70 4 0.500000 0.945833 0.187500 0.573512
71 5 0.500000 0.952083 0.135417 0.557525
72 6 0.500000 0.950000 0.125000 0.529118
73 7 0.500000 0.922917 0.114583 0.607466
74 8 0.500000 0.937500 0.083333 0.535555
75 9 0.500000 0.954167 0.062500 0.534876
76 10 0.500000 0.937500 0.104167 0.493227
77 11 0.500000 0.925000 0.281250 0.550555
78 12 0.500000 0.950000 0.093750 0.516082
79 13 0.500000 0.950000 0.166667 0.540771
80 14 0.500000 0.941667 0.187500 0.545515
81 15 0.500000 0.945833 0.218750 0.534969
82 16 0.500000 0.943750 0.395833 0.552199
83 17 0.500000 0.947917 0.125000 0.536930
84 18 0.500000 0.941667 0.104167 0.530283
85 19 0.500000 0.966667 0.000000 0.548011
86 0 0.500000 0.960417 0.125000 0.532006
87 1 0.500000 0.910417 0.010417 0.536290
88 2 0.500000 0.929167 0.062500 0.563630
89 3 0.500000 0.962500 0.135417 0.566771
90 4 0.500000 0.968750 0.239583 0.573766
91 5 0.500000 0.954167 0.093750 0.560717
92 6 0.500000 0.950000 0.177083 0.529426
93 7 0.500000 0.943750 0.010417 0.608156
94 8 0.500000 0.960417 0.041667 0.530703
95 9 0.500000 0.950000 0.114583 0.533561
96 10 0.500000 0.937500 0.041667 0.489375
97 11 0.500000 0.920833 0.343750 0.554261
98 12 0.500000 0.960417 0.187500 0.517192
99 13 0.500000 0.952083 0.145833 0.542150
100 14 0.500000 0.941667 0.125000 0.546994
101 15 0.500000 0.945833 0.072917 0.537957
102 16 0.500000 0.935417 0.333333 0.548728
103 17 0.500000 0.937500 0.093750 0.532926
104 18 0.500000 0.937500 0.031250 0.532182
105 19 0.500000 0.962500 0.041667 0.552156
106 0 0.500000 0.960417 0.031250 0.534253
107 1 0.500000 0.910417 0.000000 0.534778
108 2 0.500000 0.922917 0.000000 0.560311