On the Sensitivity of Adversarial Robustness to Input Data DistributionsDownload PDFOpen Website

Published: 01 Jan 2019, Last Modified: 12 May 2023ICLR (Poster) 2019Readers: Everyone
Abstract: Robustness performance of PGD trained models are sensitive to semantics-preserving transformation of image datasets, which implies the trickiness of evaluation of robust learning algorithms in practice.
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