Adversarial Defense On Imagenet Non Targeted

评估指标

Accuracy

评测结果

各个模型在此基准测试上的表现结果

模型名称
Accuracy
Paper TitleRepository
ResNet-152 free-m=436.0%Adversarial Training for Free!-
ResNet-101 free-m=434.3%Adversarial Training for Free!-
LLR-ResNet-15247.0%Adversarial Robustness through Local Linearization-
SAT-EfficientNet-L158.6%Smooth Adversarial Training-
ResNet-50 free-m=431.8%Adversarial Training for Free!-
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Adversarial Defense On Imagenet Non Targeted | SOTA | HyperAI超神经