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Image Classification on CIFAR-10 standard (test) (Comprehensive Adversarial Robustness)

87.53Accuracy (Natural)ATHF
80.104482.032283.9685.8878Dec 12, 2023

Evaluation results

MethodLinks
ATHFBackbone=WideResNet34-102023.1287.5365.7660.0659.8757.6460.1856.5555.58
AWPHFBackbone=WideResNet34-102023.1286.4164.1862.2362.0657.4260.9456.2254.95
ATPGDBackbone=WideResNet34-102023.1286.461.8355.655.1954.5955.752.9552.06
AWPBackbone=WideResNet34-102023.1285.6562.7558.8258.6955.5659.2455.3953.61
TRADESHFBackbone=WideResNet34-102023.1285.3863.861.1261.0355.8861.1655.6255.05
HELPHFBackbone=WideResNet34-102023.1285.2164.2962.5462.2157.7361.2556.7155.21
MARTHFBackbone=WideResNet34-102023.1284.7664.0361.6361.4756.1860.7355.2354.77
MARTBackbone=WideResNet34-102023.1283.9861.3258.4358.1254.7458.0753.6452.36
HELPBackbone=WideResNet34-102023.1283.6962.6359.4859.1155.8260.0255.453.98
TRADESBackbone=WideResNet34-102023.1283.6861.7859.3159.2554.2959.3154.0253.46
ATHFBackbone=PreAct ResNet-182023.1281.8860.0456.3956.2352.656.4651.6450.61
ATPGDBackbone=PreAct ResNet-182023.1281.6657.5152.6452.5150.2952.8349.0448.25
HELPHFBackbone=PreAct ResNet-182023.1281.2760.0457.8257.552.9157.0551.2450.31
TRADESBackbone=PreAct ResNet-182023.1281.2459.2455.7155.3750.4555.6349.9549.2
AWPHFBackbone=PreAct ResNet-182023.1281.1759.8355.9555.8752.3156.2751.8250.28
MARTHFBackbone=PreAct ResNet-182023.1281.1459.7357.2456.9751.1156.3651.6150.74
AWPBackbone=PreAct ResNet-182023.1280.8159.3855.5955.4751.8955.751.0450.06
HELPBackbone=PreAct ResNet-182023.1280.7559.5756.4156.1352.3456.1850.6349.76
MARTBackbone=PreAct ResNet-182023.1280.6359.5456.1655.8650.3155.4150.4749.62
TRADESHFBackbone=PreAct ResNet-182023.1280.3959.6157.4157.1251.256.9550.9650.35