Toward Trustworthy Machine Learning: An Example in Defending against Adversarial Patch Attacks

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 […]