perceptual-advex
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Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".
Have you tried to develop a better metric than LPIPS for perceptibility? I was wondering if there's room for developing a better perceptibility metric or if you've already tried hard...
It seems that the defense model is a PAT-adversarially trained model. When attacking a normally trained model (clean model), the perturbation will be very similar to l2 attack ? (especially...
Hi, according to Table 2, (AT StAdv) model achieves >50% accuracy against StAdv attacks (bound = 0.05). I used the pre-trained models provided (stadv_0.05.pt) but got a robust accuracy of...
https://github.com/cassidylaidlaw/perceptual-advex/blob/70af18f174a269ed17368116b41e59e10cad0195/perceptual_advex/perceptual_attacks.py#L623 We should update "perturbations" after we update "live". Otherwise, some samples which already meet the requirements will still be updated through https://github.com/cassidylaidlaw/perceptual-advex/blob/70af18f174a269ed17368116b41e59e10cad0195/perceptual_advex/perceptual_attacks.py#L633