On Evaluating Adversarial Robustness

arXiv: Learning, 2019.

Cited by: 184|Bibtex|Views198
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Correctly evaluating defenses against adversarial examples has proven to be extremely difficult. Despite the significant amount of recent work attempting to design defenses that withstand adaptive attacks, few have succeeded; most papers that propose defenses are quickly shown to be incorrect. believe a large contributing factor is the d...More

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