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Electronic Colloquium on Computational Complexity

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REPORTS > KEYWORD > ADVERSARIAL ROBUSTNESS:
Reports tagged with Adversarial Robustness:
TR19-123 | 12th September 2019
Pascale Gourdeau, Varun Kanade, Marta Kwiatkowska, James Worrell

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 robust learning from the perspective of computational learning theory, considering both sample and computational complexity. In particular, our definition of robust learnability requires polynomial sample complexity. ... more >>>




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