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...

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Dettagli Bibliografici
Autori principali:	Gourdeau, P, Kanade, V, Kwiatkowska, M, Worrell, J
Natura:	Journal article
Lingua:	English
Pubblicazione:	Journal of Machine Learning Research 2021

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