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2026-07-09 12:20:18 +02:00
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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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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
0.9546,0.9561,0.9546,0.9549,0.9561,0.9546,0.9549
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
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
11,0.500000,1.000000, 0.197917, 0.496418
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
64 18 0.493750 1.000000 0.177083 0.460478
65 19 0.500000 1.000000 0.322917 0.491559
66 0 0.500000 1.000000 0.072917 0.481852
67 1 0.500000 1.000000 0.197917 0.479149
68 2 0.500000 1.000000 0.218750 0.525174
69 3 0.500000 1.000000 0.156250 0.486232
70 4 0.500000 1.000000 0.052083 0.512113
71 5 0.500000 1.000000 0.010417 0.486220
72 6 0.500000 1.000000 0.208333 0.487183
73 7 0.500000 1.000000 0.083333 0.514833
74 8 0.500000 1.000000 0.052083 0.491940
75 9 0.500000 1.000000 0.052083 0.489207
76 10 0.500000 1.000000 0.104167 0.454086
77 11 0.500000 1.000000 0.333333 0.503387
78 12 0.500000 1.000000 0.208333 0.455327
79 13 0.500000 1.000000 0.020833 0.486724
80 14 0.500000 1.000000 0.010417 0.471118
81 15 0.500000 1.000000 0.010417 0.477412
82 16 0.500000 1.000000 0.260417 0.467595
83 17 0.500000 1.000000 0.208333 0.467013
84 18 0.500000 1.000000 0.270833 0.453672
85 19 0.500000 1.000000 0.208333 0.496708
86 0 0.500000 1.000000 0.177083 0.478702
87 1 0.500000 1.000000 0.145833 0.479852
88 2 0.500000 1.000000 0.156250 0.524556
89 3 0.500000 1.000000 0.020833 0.484795
90 4 0.500000 1.000000 0.000000 0.510410
91 5 0.500000 1.000000 0.072917 0.494813
92 6 0.500000 1.000000 0.239583 0.479916
93 7 0.500000 1.000000 0.062500 0.516064
94 8 0.500000 1.000000 0.114583 0.486330
95 9 0.500000 1.000000 0.093750 0.483989
96 10 0.500000 1.000000 0.260417 0.458786
97 11 0.500000 1.000000 0.218750 0.500200
98 12 0.500000 1.000000 0.166667 0.460794
99 13 0.500000 1.000000 0.135417 0.487145
100 14 0.500000 1.000000 0.041667 0.470029
101 15 0.500000 1.000000 0.020833 0.479780
102 16 0.500000 1.000000 0.208333 0.468624
103 17 0.500000 1.000000 0.291667 0.465381
104 18 0.493750 1.000000 0.145833 0.449917
105 19 0.500000 1.000000 0.250000 0.493480
106 0 0.500000 1.000000 0.145833 0.477865
107 1 0.500000 1.000000 0.072917 0.476946
108 2 0.500000 1.000000 0.187500 0.530780