When Background Matters: Breaking Medical Vision Language Models by Transferable Attack
arXiv:2604.17318v1 Announce Type: new
Abstract: Vision-Language Models (VLMs) are increasingly used in clinical diagnostics, yet their robustness to adversarial attacks remains largely unexplored, posing serious risks. Existing medical attacks focus o…