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Image Classification Robustness on TissueMNIST MedMNIST v2 (test)

70.57Clean AccuracyBenign
45.3551.897558.44564.9925May 30, 2026

Evaluation results

MethodLinks
BenignArchitecture=SENet-182026.0570.5713.500
BenignArchitecture=ResNet-182026.0570.5213.9800
NuATArchitecture=ResNet-182026.0565.9529.1516.579.94
NuATArchitecture=SENet-182026.0565.6426.3415.9910.52
ELLEArchitecture=SENet-182026.0560.0948.2147.2244.36
PGD-2Architecture=ResNet-182026.0559.2749.3448.5547.15
MultiGradArchitecture=SENet-182026.0559.2548.0232.9631.89
ELLEArchitecture=ResNet-182026.0559.1849.248.4346.92
PGD-2Architecture=SENet-182026.0559.1149.5548.8647.43
SORAArchitecture=ResNet-182026.0558.7149.6748.8147.36
MultiGradArchitecture=ResNet-182026.0558.2850.3449.2247.61
SORAArchitecture=SENet-182026.0557.950.1849.4848.21
PGD-10Architecture=ResNet-182026.0557.6250.2349.7648.66
N-FGSMArchitecture=ResNet-182026.0557.3849.9749.5148.4
AAERArchitecture=ResNet-182026.0557.3849.9749.5148.39
N-FGSMArchitecture=SENet-182026.0557.2150.0149.5848.56
AAERArchitecture=SENet-182026.0557.2150.0149.5848.56
PGD-10Architecture=SENet-182026.0557.1950.1549.7348.76
ZeroGradArchitecture=SENet-182026.0556.2370.190.060
FGSM-RSArchitecture=SENet-182026.0556.186.980.440.06
ZeroGradArchitecture=ResNet-182026.0555.767.730.140.01
TRADESArchitecture=ResNet-182026.0553.744.8944.4542.13
FGSM-RSArchitecture=ResNet-182026.0553.0685.550.240.06
GradAlignArchitecture=SENet-182026.0552.584.80.020.01
FGSMArchitecture=ResNet-182026.0550.5483.730.260.08
ATASArchitecture=SENet-182026.0548.3951.6818.1515.02
GradAlignArchitecture=ResNet-182026.0548.2458.935.92.78
FGSMArchitecture=SENet-182026.0547.2684.390.260.04
ATASArchitecture=ResNet-182026.0546.3242.7429.7728.4