On the hardness of robust classification

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...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Gourdeau, P, Kanade, V, Kwiatkowska, M, Worrell, J
Format: Journal article
Sprache:English
Veröffentlicht: Journal of Machine Learning Research 2021

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