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ResearchFormerly WizWand

Image Classification on CIFAR-10 L2 Robustness (epsilon=0.5, test)

96.09Standard AccuracyWang et al.
85.242888.058990.87593.6911Jul 10, 2023
Updated 8mo ago

Evaluation results

MethodLinks
Wang et al.Type=AT, Architecture=WideResNet-70-162023.0796.0986.72
ScoreOptType=AP, Architecture=WideResNet-70-162023.0795.1887.11
ScoreOptType=AP, Architecture=WideResNet-28-102023.0794.9986.78
Augustin et al.Type=AT, Architecture=WideResNet-28-102023.0793.9686.14
Rebuffi et al.Type=AT, Architecture=WideResNet-70-162023.0792.4186.24
Nie et al.Type=AP, Architecture=WideResNet-70-162023.0792.1584.8
Rebuffi et al.Type=AT, Architecture=WideResNet-28-102023.0791.7985.05
Nie et al.Type=AP, Architecture=WideResNet-28-102023.0791.4182.11
Sehwag et al.Type=AT, Architecture=WideResNet-28-102023.0790.9383.75
Yoon et al.Type=AP, Architecture=WideResNet-70-162023.0786.7675.9
Yoon et al.Type=AP, Architecture=WideResNet-28-102023.0785.6674.26