On the hardness of robust classification

On the hardness of robust classification

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It is becoming increasingly important to understand the vulnerability of machine learning models to adversarial attacks. In this paper we study the feasibility of adversarially robust learning from the perspective of computational learning theory, considering both sample and computational complexity...

書誌詳細
主要な著者:	Gourdeau, P, Kanade, V, Kwiatkowska, M, Worrell, J
フォーマット:	Journal article
言語:	English
出版事項:	Journal of Machine Learning Research 2021

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