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cs.LG2021★ 1 cited
On the Existence of the Adversarial Bayes Classifier (Extended Version)
Pranjal Awasthi, Natalie S. Frank, Mehryar Mohri
Adversarial robustness is a critical property in a variety of modern machine learning applications. While it has been the subject of several recent theoretical studies, many import…
cs.LG2021★ 6 cited
Calibration and Consistency of Adversarial Surrogate Losses
Pranjal Awasthi, Natalie Frank, Anqi Mao +2
Adversarial robustness is an increasingly critical property of classifiers in applications. The design of robust algorithms relies on surrogate losses since the optimization of the…