By Chong Xiang and Prateek Mittal In our previous post, we discussed adversarial patch attacks and presented our first defense algorithm PatchGuard. The PatchGuard framework (small receptive field + secure aggregation) has become the most popular defense strategy over the past year, subsuming a long list of defense instances (Clipped BagNet, De-randomized Smoothing, BagCert, Randomized […]
Toward Trustworthy Machine Learning: An Example in Defending against Adversarial Patch Attacks (2)
July 19, 2022 by Leave a Comment
Toward Trustworthy Machine Learning: An Example in Defending against Adversarial Patch Attacks
July 12, 2022 by Leave a Comment
By Chong Xiang and Prateek Mittal Thanks to the stunning advancement of Machine Learning (ML) technologies, ML models are increasingly being used in critical societal contexts — such as in the courtroom, where judges look to ML models to determine whether a defendant is a flight risk, and in autonomous driving, where driverless vehicles are […]
