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Finding Dynamics Preserving Adversarial Winning Tickets
[article]
2022
arXiv
pre-print
Modern deep neural networks (DNNs) are vulnerable to adversarial attacks and adversarial training has been shown to be a promising method for improving the adversarial robustness of DNNs. Pruning methods have been considered in adversarial context to reduce model capacity and improve adversarial robustness simultaneously in training. Existing adversarial pruning methods generally mimic the classical pruning methods for natural training, which follow the three-stage
arXiv:2202.06488v3
fatcat:lzewk5c5pzdd5kn73a7lj6jtiu