Digital-to-Physical Transfer of Adversarial Patches for Aerial Vehicle Detection 事件

Digital-to-Physical Transfer of Adversarial Patches for Aerial Vehicle Detection arXiv:2606.00159v1 Announce Type: new Abstract: Deep neural network (DNN)-based object detectors are widely used for analyzing aerial and satellite imagery in applications such as environmental monitoring and urban analytics. Despite their strong performance, these models are known to be vulnerable to adversarial examples, and physical adversarial attacks using printable patterns pose realistic security threats. In