Professor Zhang’s Paper on Adversarial Examples Accepted at ACM Conference
Dr. Shengzhi Zhang, whose expertise is in cybersecurity, was coauthor of a paper entitled “Seeing isn’t Believing: Towards More Robust Adversarial Attack Against Real World Object Detectors.” The paper, focusing on security concerns around object detectors (used in autonomous driving, face detection, and object tracking, for instance) and their vulnerability to cyberattacks, was accepted by the ACM Conference on Computer and Communications Security (CCS), one of the top three computer security conferences. For details about the event—to be held in London, England, November 11–15, 2019—visit the ACM CCS 2019 website.