List your company

Adversarial Robustness Evaluation on SVHN (test)

93.37Accuracy (Natural)AT
64.281271.833179.38586.9369Dec 12, 2023Mar 1, 2024May 20, 2024Aug 9, 2024Oct 28, 2024Jan 16, 2025Apr 7, 2025

Evaluation results

MethodLinks
ATBackbone=ResNet-18, Sparsity rate=0%, Params=11.2M2025.0493.37———58.85——50.1456.2759.81
HARPBackbone=VGG-16, Sparsity rate=80%, Params=2.9M2025.0493.22———52.96——44.7355.5356.161.77
AT_HFBackbone=WideResNet34-102023.1293.1668.2160.4657.9243.4146.7943.742.88———
EEDBackbone=ResNet-18, Sparsity rate=80%, Params=2.2M2025.0493.15———58.37——50.1855.7456.051.85
EEDBackbone=VGG-16, Sparsity rate=80%, Params=2.9M2025.0493.14———53.12——51.4957.1960.271.77
ATBackbone=VGG-16, Sparsity rate=0%, Params=14.7M2025.0493.06———55.36——52.2857.6461.491
TwinRepBackbone=ResNet-18, Sparsity rate=80%, Params=2.2M2025.0492.96———56.26——44.7353.8348.611.78
MADBackbone=ResNet-18, Sparsity rate=80%, Params=2.2M2025.0492.84———59.8——39.8751.6544.721.7
HELP_HFBackbone=WideResNet34-102023.1292.7969.761.6458.6443.3846.8543.3441.83———
HARPBackbone=ResNet-18, Sparsity rate=80%, Params=2.2M2025.0492.6———57.28——45.8954.1651.241.8
TwinRepBackbone=VGG-16, Sparsity rate=80%, Params=2.9M2025.0492.6———51.24——49.0654.6156.581.75
AT_HFBackbone=PreAct ResNet-182023.1292.5667.6959.1257.0342.4745.541.6440.83———
AT_PGDBackbone=WideResNet34-102023.1292.0664.7555.2653.1736.3238.8736.4635.81———
HELP_HFBackbone=PreAct ResNet-182023.1291.7966.0459.657.7742.8645.5241.7841.23———
AWP_HFBackbone=PreAct ResNet-182023.1291.6968.6361.6860.8941.5847.8242.0441.24———
AWP_HFBackbone=WideResNet34-102023.1291.5669.5862.8561.5242.7249.3644.2243.03———
HELPBackbone=WideResNet34-102023.1291.3467.6557.3254.9337.2642.1538.7137.89———
TRADES_HFBackbone=PreAct ResNet-182023.1291.3168.7461.1359.7241.3746.9441.0540.56———
HYDRABackbone=ResNet-18, Sparsity rate=80%, Params=2.2M2025.0491.06———55.13——47.6252.2246.131.74
MART_HFBackbone=WideResNet34-102023.1291.0269.4562.4160.6242.3648.2741.8241.29———
HYDRABackbone=VGG-16, Sparsity rate=80%, Params=2.9M2025.0490.82———52.63——46.353.6653.421.72
TRADES_HFBackbone=WideResNet34-102023.1290.7369.362.2360.3343.6547.3443.3541.18———
MART_HFBackbone=PreAct ResNet-182023.1290.7167.6460.2158.3740.1847.0740.9340.1———
AT_PGDBackbone=PreAct ResNet-182023.1290.4661.6252.7950.1935.0337.6434.634.1———
HELPBackbone=PreAct ResNet-182023.1290.3462.6556.0553.8736.2340.6734.9734.64———
AWPBackbone=WideResNet34-102023.1290.2465.560.2358.2137.8343.7239.6238.86———
Flying BirdBackbone=ResNet-18, Sparsity rate=80%, Params=2.2M2025.0490.21———57.3——42.0152.0652.231.76
Flying BirdBackbone=VGG-16, Sparsity rate=80%, Params=2.9M2025.0490.11———52.81——49.1853.2950.781.73
MADBackbone=VGG-16, Sparsity rate=80%, Params=2.9M2025.0489.94———53.03——40.3149.4647.371.69
MARTBackbone=WideResNet34-102023.1289.6766.3658.6457.5136.4443.5237.9637.12———
AWPBackbone=PreAct ResNet-182023.1289.6464.0559.0357.7636.5142.4537.7436.89———
MARTBackbone=PreAct ResNet-182023.1289.1363.1957.4655.435.8441.6735.6235.15———
TRADESBackbone=WideResNet34-102023.1288.966.4959.2757.2337.7243.1838.2137.31———
TRADESBackbone=PreAct ResNet-182023.1288.2363.958.2656.9136.1241.5636.0235.52———
RSTBackbone=ResNet-18, Sparsity rate=80%, Params=2.2M2025.0482.39———52.65——36.3546.2939.271.83
RSTBackbone=VGG-16, Sparsity rate=80%, Params=2.9M2025.0482.39———43.58——45.5241.9438.811.81
R-ADMMBackbone=ResNet-18, Sparsity rate=80%, Params=2.2M2025.0474.81———52.62——37.449.7343.41.63
R-ADMMBackbone=VGG-16, Sparsity rate=80%, Params=2.9M2025.0465.4———48.92——44.6448.3949.851.66