SIP-AT preserves salient image regions during adversarial training, improving clean accuracy and low-epsilon robustness, but high-epsilon robustness is not maintained on all datasets.
Towards evaluating the robustness of neural networks
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Salient Information Preserving Adversarial Training Improves Clean and Robust Accuracy
SIP-AT preserves salient image regions during adversarial training, improving clean accuracy and low-epsilon robustness, but high-epsilon robustness is not maintained on all datasets.