Improving Robustness of ML Classifiers against Realizable Evasion Attacks Using Conserved Features

Liang Tong, Bo Li 0026, Chen Hajaj, Chaowei Xiao, Ning Zhang 0017, Yevgeniy Vorobeychik. Improving Robustness of ML Classifiers against Realizable Evasion Attacks Using Conserved Features. In Nadia Heninger, Patrick Traynor, editors, 28th USENIX Security Symposium, USENIX Security 2019, Santa Clara, CA, USA, August 14-16, 2019. pages 285-302, USENIX Association, 2019. [doi]

Abstract

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