218 citations · 265 across the 23 of their papers we have counts for
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cs.LG2021★ 2 cited
A Finer Calibration Analysis for Adversarial Robustness
Pranjal Awasthi, Anqi Mao, Mehryar Mohri +1
We present a more general analysis of -calibration for adversarially robust classification. By adopting a finer definition of calibration, we can cover settings beyond the restr…
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…