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Tinsae
2026-07-08 10:07:39 +02:00
parent eb8060fc05
commit a118a975c1
20 changed files with 287 additions and 22 deletions
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14
reports/Retrain/RESNET34/forget.csv
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@@ -66,3 +66,17 @@ 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
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
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
66 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
67 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
68 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
69 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
70 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
71 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
72 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
73 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
74 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
75 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
76 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
77 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
78 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
79 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
80 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
81 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
82 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

14
reports/Retrain/RESNET34/forget_train.csv
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@@ -66,3 +66,17 @@ 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
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
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
66 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
67 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
68 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
69 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
70 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
71 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
72 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
73 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
74 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
75 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
76 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
77 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
78 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
79 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
80 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
81 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
82 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

14
reports/Retrain/RESNET34/retain.csv
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@@ -66,3 +66,17 @@ accuracy,macro_precision,macro_recall,macro_f1,weighted_precision,weighted_recal
0.9533,0.9543,0.9533,0.9534,0.9543,0.9533,0.9534
0.9586,0.9599,0.9586,0.9588,0.9599,0.9586,0.9588
0.9612,0.9620,0.9612,0.9613,0.9620,0.9612,0.9613
0.9559,0.9571,0.9559,0.9560,0.9571,0.9559,0.9560
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
1 accuracy macro_precision macro_recall macro_f1 weighted_precision weighted_recall weighted_f1
66 0.9533 0.9543 0.9533 0.9534 0.9543 0.9533 0.9534
67 0.9586 0.9599 0.9586 0.9588 0.9599 0.9586 0.9588
68 0.9612 0.9620 0.9612 0.9613 0.9620 0.9612 0.9613
69 0.9559 0.9571 0.9559 0.9560 0.9571 0.9559 0.9560
70 0.9559 0.9571 0.9559 0.9560 0.9571 0.9559 0.9560
71 0.9507 0.9518 0.9507 0.9507 0.9518 0.9507 0.9507
72 0.9612 0.9622 0.9612 0.9612 0.9622 0.9612 0.9612
73 0.9553 0.9561 0.9553 0.9552 0.9561 0.9553 0.9552
74 0.9618 0.9626 0.9618 0.9618 0.9626 0.9618 0.9618
75 0.9566 0.9586 0.9566 0.9569 0.9586 0.9566 0.9569
76 0.9533 0.9548 0.9533 0.9535 0.9548 0.9533 0.9535
77 0.9539 0.9548 0.9539 0.9541 0.9548 0.9539 0.9541
78 0.9500 0.9511 0.9500 0.9500 0.9511 0.9500 0.9500
79 0.9566 0.9572 0.9566 0.9565 0.9572 0.9566 0.9565
80 0.9546 0.9554 0.9546 0.9546 0.9554 0.9546 0.9546
81 0.9612 0.9620 0.9612 0.9613 0.9620 0.9612 0.9613
82 0.9539 0.9551 0.9539 0.9540 0.9551 0.9539 0.9540

30
reports/Retrain/attack_values.csv
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@@ -3,3 +3,33 @@ target_class,parameter_mia_accuracy,latent_distance_tell,lookalike_accuracy
1,0.500000,12.793120,0.000000
2,0.500000,12.951434,0.000000
3,0.500000,10.942259,0.000000
4,0.500000,10.675704,0.000000
5,0.500000,13.046491,0.000000
6,0.500000,11.343709,0.000000
7,0.500000,10.020437,0.000000
8,0.500000,12.896643,0.000000
9,0.500000,12.220088,0.000000
10,0.500000,11.315407,0.000000
11,0.450000,10.556920,0.000000
12,0.500000,10.925443,0.000000
13,0.500000,12.007375,0.000000
14,0.500000,11.471087,0.000000
15,0.500000,12.301955,0.000000
16,0.500000,10.831913,0.000000
17,0.500000,10.942777,0.000000
18,0.500000,11.699934,0.000000
19,0.500000,12.526654,0.000000
0,0.500000,11.601441,0.000000
0,0.500000,11.639872,0.000000
1,0.500000,12.723348,0.000000
2,0.500000,13.151769,0.000000
3,0.500000,10.969514,0.000000
4,0.500000,10.674448,0.000000
5,0.500000,13.068334,0.000000
6,0.500000,11.328772,0.000000
7,0.500000,9.926997,0.000000
8,0.500000,12.859781,0.000000
9,0.500000,12.061253,0.000000
10,0.500000,11.358070,0.000000
11,0.500000,10.484346,0.000000
12,0.500000,10.926878,0.000000
1 target_class parameter_mia_accuracy latent_distance_tell lookalike_accuracy
3 1 0.500000 12.793120 0.000000
4 2 0.500000 12.951434 0.000000
5 3 0.500000 10.942259 0.000000
6 4 0.500000 10.675704 0.000000
7 5 0.500000 13.046491 0.000000
8 6 0.500000 11.343709 0.000000
9 7 0.500000 10.020437 0.000000
10 8 0.500000 12.896643 0.000000
11 9 0.500000 12.220088 0.000000
12 10 0.500000 11.315407 0.000000
13 11 0.450000 10.556920 0.000000
14 12 0.500000 10.925443 0.000000
15 13 0.500000 12.007375 0.000000
16 14 0.500000 11.471087 0.000000
17 15 0.500000 12.301955 0.000000
18 16 0.500000 10.831913 0.000000
19 17 0.500000 10.942777 0.000000
20 18 0.500000 11.699934 0.000000
21 19 0.500000 12.526654 0.000000
22 0 0.500000 11.601441 0.000000
23 0 0.500000 11.639872 0.000000
24 1 0.500000 12.723348 0.000000
25 2 0.500000 13.151769 0.000000
26 3 0.500000 10.969514 0.000000
27 4 0.500000 10.674448 0.000000
28 5 0.500000 13.068334 0.000000
29 6 0.500000 11.328772 0.000000
30 7 0.500000 9.926997 0.000000
31 8 0.500000 12.859781 0.000000
32 9 0.500000 12.061253 0.000000
33 10 0.500000 11.358070 0.000000
34 11 0.500000 10.484346 0.000000
35 12 0.500000 10.926878 0.000000