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1 accepted papers

2023

Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability

NeurIPS 2023poster

The transferability of adversarial perturbations provides an effective shortcut for black-box attacks. Targeted perturbations have greater practicality but are more difficult to transfer between models. In this paper, we experimentally and theoretically demonstrated that neural networks trained on t…