Adversarially Robust Learning Could Leverage Computational HardnessDownload PDFOpen Website

2020 (modified: 06 Nov 2022)ALT 2020Readers: Everyone
Abstract: Over recent years, devising classification algorithms that are robust to adversarial perturbations has emerged as a challenging problem. In particular, deep neural nets (DNNs) seem to be susceptibl...
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