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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Dades bibliogràfiques
Autors principals:	Gourdeau, P, Kanade, V, Kwiatkowska, M, Worrell, J
Format:	Journal article
Idioma:	English
Publicat:	Journal of Machine Learning Research 2021

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