Web: http://arxiv.org/abs/2204.13779

Sept. 23, 2022, 1:12 a.m. | Sihui Dai, Saeed Mahloujifar, Prateek Mittal

cs.LG updates on arXiv.org arxiv.org

Existing defenses against adversarial examples such as adversarial training
typically assume that the adversary will conform to a specific or known threat
model, such as $\ell_p$ perturbations within a fixed budget. In this paper, we
focus on the scenario where there is a mismatch in the threat model assumed by
the defense during training, and the actual capabilities of the adversary at
test time. We ask the question: if the learner trains against a specific
"source" threat model, when can …

arxiv attacks robustness

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