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2026-07-08 00:25:07 +02:00
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commit eb8060fc05
37 changed files with 1649 additions and 66 deletions
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37
reports/LinearFiltration/RESNET34/forget.csv
View File

@@ -399,3 +399,40 @@ 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
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1 accuracy macro_precision macro_recall macro_f1 weighted_precision weighted_recall weighted_f1
399 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
400 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
401 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
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403 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
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37
reports/LinearFiltration/RESNET34/forget_train.csv
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@@ -399,3 +399,40 @@ 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
399 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
400 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
401 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
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410 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
411 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
412 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
413 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
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415 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
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37
reports/LinearFiltration/RESNET34/retain.csv
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@@ -399,3 +399,40 @@ accuracy,macro_precision,macro_recall,macro_f1,weighted_precision,weighted_recal
0.9572,0.9582,0.9572,0.9573,0.9582,0.9572,0.9573
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0.9592,0.9602,0.9592,0.9593,0.9602,0.9592,0.9593
0.9539,0.9548,0.9539,0.9540,0.9548,0.9539,0.9540
0.9539,0.9550,0.9539,0.9541,0.9550,0.9539,0.9541
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0.9533,0.9543,0.9533,0.9534,0.9543,0.9533,0.9534
1 accuracy macro_precision macro_recall macro_f1 weighted_precision weighted_recall weighted_f1
399 0.9572 0.9582 0.9572 0.9573 0.9582 0.9572 0.9573
400 0.9599 0.9609 0.9599 0.9599 0.9609 0.9599 0.9599
401 0.9579 0.9588 0.9579 0.9580 0.9588 0.9579 0.9580
402 0.9533 0.9543 0.9533 0.9534 0.9543 0.9533 0.9534
403 0.9559 0.9568 0.9559 0.9561 0.9568 0.9559 0.9561
404 0.9559 0.9566 0.9559 0.9559 0.9566 0.9559 0.9559
405 0.9526 0.9535 0.9526 0.9527 0.9535 0.9526 0.9527
406 0.9546 0.9554 0.9546 0.9547 0.9554 0.9546 0.9547
407 0.9592 0.9602 0.9592 0.9593 0.9602 0.9592 0.9593
408 0.9539 0.9548 0.9539 0.9540 0.9548 0.9539 0.9540
409 0.9539 0.9550 0.9539 0.9541 0.9550 0.9539 0.9541
410 0.9546 0.9556 0.9546 0.9547 0.9556 0.9546 0.9547
411 0.9539 0.9548 0.9539 0.9540 0.9548 0.9539 0.9540
412 0.9539 0.9549 0.9539 0.9541 0.9549 0.9539 0.9541
413 0.9539 0.9549 0.9539 0.9540 0.9549 0.9539 0.9540
414 0.9513 0.9524 0.9513 0.9514 0.9524 0.9513 0.9514
415 0.9520 0.9529 0.9520 0.9520 0.9529 0.9520 0.9520
416 0.9572 0.9583 0.9572 0.9574 0.9583 0.9572 0.9574
417 0.9520 0.9530 0.9520 0.9521 0.9530 0.9520 0.9521
418 0.9520 0.9530 0.9520 0.9521 0.9530 0.9520 0.9521
419 0.9553 0.9565 0.9553 0.9554 0.9565 0.9553 0.9554
420 0.9559 0.9567 0.9559 0.9560 0.9567 0.9559 0.9560
421 0.9520 0.9530 0.9520 0.9521 0.9530 0.9520 0.9521
422 0.9533 0.9543 0.9533 0.9534 0.9543 0.9533 0.9534
423 0.9559 0.9568 0.9559 0.9561 0.9568 0.9559 0.9561
424 0.9533 0.9543 0.9533 0.9534 0.9543 0.9533 0.9534
425 0.9533 0.9543 0.9533 0.9534 0.9543 0.9533 0.9534
426 0.9559 0.9568 0.9559 0.9561 0.9568 0.9559 0.9561
427 0.9559 0.9566 0.9559 0.9559 0.9566 0.9559 0.9559
428 0.9526 0.9535 0.9526 0.9527 0.9535 0.9526 0.9527
429 0.9546 0.9554 0.9546 0.9547 0.9554 0.9546 0.9547
430 0.9592 0.9602 0.9592 0.9593 0.9602 0.9592 0.9593
431 0.9533 0.9543 0.9533 0.9534 0.9543 0.9533 0.9534
432 0.9539 0.9548 0.9539 0.9540 0.9548 0.9539 0.9540
433 0.9539 0.9550 0.9539 0.9541 0.9550 0.9539 0.9541
434 0.9559 0.9568 0.9559 0.9561 0.9568 0.9559 0.9561
435 0.9533 0.9543 0.9533 0.9534 0.9543 0.9533 0.9534
436 0.9546 0.9556 0.9546 0.9547 0.9556 0.9546 0.9547
437 0.9533 0.9543 0.9533 0.9534 0.9543 0.9533 0.9534
438 0.9533 0.9543 0.9533 0.9534 0.9543 0.9533 0.9534

189
reports/LinearFiltration/ResNet/time_metrics.txt
View File

@@ -399,3 +399,192 @@ execution_time_sec
0.001845
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1.583831
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0.001841
0.001879
0.001850
0.001846
0.001855
0.001829
0.001850
0.001845
0.001862
0.001865
0.001839
0.001845
0.001829
0.878134
0.001857
0.001842
0.001840
0.001852
0.001844
0.001849
0.001867
0.001862
0.001822
0.001838
0.002338
0.001885
0.001827
0.001838
0.001844
0.001851
0.001862
0.001854
0.001888
0.890666
0.001937
0.001811
0.001797
0.001828
0.001838
0.001844
0.001794
0.001830
0.001877
0.001810
0.001810
0.001851
0.001799
0.001835
0.001794
0.001825
0.001854
0.001812
0.001794
0.865806
0.001830

5
reports/LinearFiltration/attack_values.csv Normal file
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@@ -0,0 +1,5 @@
target_class,parameter_mia_accuracy,latent_distance_tell,lookalike_accuracy
0,0.500000,3.219560,1.000000
1,0.500000,3.573733,1.000000
2,0.500000,3.924550,1.000000
3,0.500000,3.515182,1.000000
1 target_class parameter_mia_accuracy latent_distance_tell lookalike_accuracy
2 0 0.500000 3.219560 1.000000
3 1 0.500000 3.573733 1.000000
4 2 0.500000 3.924550 1.000000
5 3 0.500000 3.515182 1.000000

101
reports/LinearFiltration/attack_values_old.csv Normal file
View File

@@ -0,0 +1,101 @@
target_class,attack_mia_accuracy,latent_distance_tell
0,0.932292,0.000000
1,0.994792,0.000000
2,0.411458,0.000000
3,0.916667,0.000000
4,0.885417,0.000000
5,0.968750,0.000000
6,0.921875,0.000000
7,0.760417,0.000000
8,0.437500,0.000000
9,0.479167,0.000000
10,0.364583,0.000000
11,0.458333,0.000000
12,0.453125,0.000000
13,0.463542,0.000000
14,0.708333,0.000000
15,0.479167,0.000000
16,0.989583,0.000000
17,0.937500,0.000000
18,0.552083,0.000000
19,0.401042,0.000000
0,0.942708,0.000000
1,1.000000,0.000000
2,0.421875,0.000000
3,0.932292,0.000000
4,0.854167,0.000000
5,0.963542,0.000000
6,0.958333,0.000000
7,0.703125,0.000000
8,0.401042,0.000000
9,0.479167,0.000000
10,0.411458,0.000000
11,0.437500,0.000000
12,0.489583,0.000000
13,0.468750,0.000000
14,0.729167,0.000000
15,0.484375,0.000000
16,1.000000,0.000000
17,0.927083,0.000000
18,0.510417,0.000000
19,0.380208,0.000000
0,0.973958,0.000000
1,0.994792,0.000000
2,0.473958,0.000000
3,0.927083,0.000000
4,0.911458,0.000000
5,0.953125,0.000000
6,0.963542,0.000000
7,0.697917,0.000000
8,0.442708,0.000000
9,0.484375,0.000000
10,0.416667,0.000000
11,0.416667,0.000000
12,0.473958,0.000000
13,0.494792,0.000000
14,0.755208,0.000000
15,0.484375,0.000000
16,0.994792,0.000000
17,0.963542,0.000000
18,0.510417,0.000000
19,0.395833,0.000000
0,0.979167,0.000000
1,1.000000,0.000000
2,0.390625,0.000000
3,0.942708,0.000000
4,0.869792,0.000000
5,0.979167,0.000000
6,0.968750,0.000000
7,0.692708,0.000000
8,0.437500,0.000000
9,0.494792,0.000000
10,0.416667,0.000000
11,0.416667,0.000000
12,0.473958,0.000000
13,0.473958,0.000000
14,0.640625,0.000000
15,0.598958,0.000000
16,0.989583,0.000000
17,0.968750,0.000000
18,0.536458,0.000000
19,0.427083,0.000000
0,0.984375,0.000000
1,1.000000,0.000000
2,0.416667,0.000000
3,0.927083,0.000000
4,0.890625,0.000000
5,0.947917,0.000000
6,0.973958,0.000000
7,0.765625,0.000000
8,0.416667,0.000000
9,0.515625,0.000000
10,0.421875,0.000000
11,0.427083,0.000000
12,0.458333,0.000000
13,0.479167,0.000000
14,0.671875,0.000000
15,0.494792,0.000000
16,0.994792,0.000000
17,0.953125,0.000000
18,0.500000,0.000000
19,0.411458,0.000000
1 target_class attack_mia_accuracy latent_distance_tell
2 0 0.932292 0.000000
3 1 0.994792 0.000000
4 2 0.411458 0.000000
5 3 0.916667 0.000000
6 4 0.885417 0.000000
7 5 0.968750 0.000000
8 6 0.921875 0.000000
9 7 0.760417 0.000000
10 8 0.437500 0.000000
11 9 0.479167 0.000000
12 10 0.364583 0.000000
13 11 0.458333 0.000000
14 12 0.453125 0.000000
15 13 0.463542 0.000000
16 14 0.708333 0.000000
17 15 0.479167 0.000000
18 16 0.989583 0.000000
19 17 0.937500 0.000000
20 18 0.552083 0.000000
21 19 0.401042 0.000000
22 0 0.942708 0.000000
23 1 1.000000 0.000000
24 2 0.421875 0.000000
25 3 0.932292 0.000000
26 4 0.854167 0.000000
27 5 0.963542 0.000000
28 6 0.958333 0.000000
29 7 0.703125 0.000000
30 8 0.401042 0.000000
31 9 0.479167 0.000000
32 10 0.411458 0.000000
33 11 0.437500 0.000000
34 12 0.489583 0.000000
35 13 0.468750 0.000000
36 14 0.729167 0.000000
37 15 0.484375 0.000000
38 16 1.000000 0.000000
39 17 0.927083 0.000000
40 18 0.510417 0.000000
41 19 0.380208 0.000000
42 0 0.973958 0.000000
43 1 0.994792 0.000000
44 2 0.473958 0.000000
45 3 0.927083 0.000000
46 4 0.911458 0.000000
47 5 0.953125 0.000000
48 6 0.963542 0.000000
49 7 0.697917 0.000000
50 8 0.442708 0.000000
51 9 0.484375 0.000000
52 10 0.416667 0.000000
53 11 0.416667 0.000000
54 12 0.473958 0.000000
55 13 0.494792 0.000000
56 14 0.755208 0.000000
57 15 0.484375 0.000000
58 16 0.994792 0.000000
59 17 0.963542 0.000000
60 18 0.510417 0.000000
61 19 0.395833 0.000000
62 0 0.979167 0.000000
63 1 1.000000 0.000000
64 2 0.390625 0.000000
65 3 0.942708 0.000000
66 4 0.869792 0.000000
67 5 0.979167 0.000000
68 6 0.968750 0.000000
69 7 0.692708 0.000000
70 8 0.437500 0.000000
71 9 0.494792 0.000000
72 10 0.416667 0.000000
73 11 0.416667 0.000000
74 12 0.473958 0.000000
75 13 0.473958 0.000000
76 14 0.640625 0.000000
77 15 0.598958 0.000000
78 16 0.989583 0.000000
79 17 0.968750 0.000000
80 18 0.536458 0.000000
81 19 0.427083 0.000000
82 0 0.984375 0.000000
83 1 1.000000 0.000000
84 2 0.416667 0.000000
85 3 0.927083 0.000000
86 4 0.890625 0.000000
87 5 0.947917 0.000000
88 6 0.973958 0.000000
89 7 0.765625 0.000000
90 8 0.416667 0.000000
91 9 0.515625 0.000000
92 10 0.421875 0.000000
93 11 0.427083 0.000000
94 12 0.458333 0.000000
95 13 0.479167 0.000000
96 14 0.671875 0.000000
97 15 0.494792 0.000000
98 16 0.994792 0.000000
99 17 0.953125 0.000000
100 18 0.500000 0.000000
101 19 0.411458 0.000000