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Benchmarks
Adversarial Robustness Evaluation on Tiny-ImageNet LT
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39
Clean Accuracy
AT-BSL-RA
36.1608
36.8979
37.635
38.3721
Mar 15, 2024
Clean Accuracy
FGSM Accuracy
PGD Accuracy
CW Accuracy
LSA Accuracy
AA Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Clean Accuracy
FGSM Accuracy
PGD Accuracy
CW Accuracy
LSA Accuracy
AA Accuracy
AT-BSL-RA
Backbone=PreActResNet-...
2024.03
39
18.82
16.94
14.26
14.6
12.73
AT-BSL
Backbone=PreActResNet-...
2024.03
38.83
17.47
15.34
13.35
14.08
11.83
AT
Backbone=PreActResNet-...
2024.03
36.3
16.58
14.52
12.65
13.16
11.37
RoBal
Backbone=PreActResNet-...
2024.03
36.27
13.66
10.98
10.18
9.84
8.98
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