The Odds are Odd: A Statistical Test for Detecting Adversarial Examples
arXiv: Learning, 2019.
We investigate conditions under which test statistics exist that can reliably detect examples, which have been adversarially manipulated in a white-box attack. These statistics can be easily computed and calibrated by randomly corrupting inputs. They exploit certain anomalies that adversarial attacks introduce, in particular if they follo...More
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