Dennis Jacob

PatchDEMUX: A Certifiably Robust Framework for Multi-label Classifiers Against Adversarial Patches

Deep learning techniques have enabled vast improvements in computer vision technologies. Nevertheless, these models are vulnerable to adversarial patch attacks which catastrophically impair performance. The physically realizable nature of these attacks calls for certifiable defenses, which feature…