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Image Classification on SVHN 1.0 (test) (Adversarial Robustness)

94.2Natural AccuracyMART
90.14491.19792.2593.303Mar 2, 2023

Evaluation results

MethodLinks
MARTBackbone=WideResNet-34-102023.0394.2755853.152.852.848.9
AWP + CAFEBackbone=WideResNet-34-102023.0394.276.962.757.559.257.154.6
ADVBackbone=WideResNet-34-102023.039471.856.753.251.952.849
HELP + CAFEBackbone=WideResNet-34-102023.039476.662.657.758.857.255
TRADESBackbone=WideResNet-34-102023.0393.87458.153.95353.449.9
MARTBackbone=ResNet-182023.0393.774.258.351.753.250.847.8
ADV + CAFEBackbone=WideResNet-34-102023.0393.775.759.154.95454.150.2
HELPBackbone=WideResNet-34-102023.0393.573.460.856.557.656.154
AWP + CAFEBackbone=ResNet-182023.0393.47460.95557.854.852.7
TRADESBackbone=ResNet-182023.0393.272.857.752.65351.548.9
AWPBackbone=WideResNet-34-102023.0393.273.460.855.957.555.553.6
MART + CAFEBackbone=WideResNet-34-102023.039376.561.954.957.253.850.7
HELP + CAFEBackbone=ResNet-182023.0392.973.961.355.358.854.652.8
ADVBackbone=ResNet-182023.0392.870.455.451.350.95147.5
MARTBackbone=VGG-162023.0392.666.654.247.949.647.144.4
HELPBackbone=ResNet-182023.0392.67259.854.456.653.952
ADV + CAFEBackbone=ResNet-182023.0392.573.658.953.854.952.649.8
TRADES + CAFEBackbone=WideResNet-34-102023.0392.475.66155.7585853
MART + CAFEBackbone=ResNet-182023.0392.274.96153.457.351.849.7
AWPBackbone=ResNet-182023.0392.271.159.854.356.853.652
ADVBackbone=VGG-162023.0391.964.852.148.94848.545.2
TRADESBackbone=VGG-162023.0391.966.453.649.149.147.745.2
AWP + CAFEBackbone=VGG-162023.0391.967.958.651.255.951.149.7
ADV + CAFEBackbone=VGG-162023.0391.56755.35051.349.646.1
HELP + CAFEBackbone=VGG-162023.0391.567.358.551.656.251.450
MART + CAFEBackbone=VGG-162023.0391.367.657.349.554.248.346.4
TRADES + CAFEBackbone=ResNet-182023.0391.3—59.654.156.753.251.3
HELPBackbone=VGG-162023.0391.265.856.650.953.950.248.8
AWPBackbone=VGG-162023.0390.865.556.650.45449.748.6
TRADES + CAFEBackbone=VGG-162023.0390.367.856.15053.649.147.5