Boundary thickness and robustness in learning models

9 Jul 2020Yaoqing YangRajiv KhannaYaodong YuAmir GholamiKurt KeutzerJoseph E. GonzalezKannan RamchandranMichael W. Mahoney

Robustness of machine learning models to various adversarial and non-adversarial corruptions continues to be of interest. In this paper, we introduce the notion of the boundary thickness of a classifier, and we describe its connection with and usefulness for model robustness... (read more)

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