Yingxiao Xiang

FRBAT: Conditionally-Visible Physical Backdoor Attack via Fluorescence

Deep neural networks are increasingly vulnerable to physically deployable backdoor attacks, which manipulate real-world objects to induce targeted model failures. However, current physical backdoor attacks predominantly rely on perpetually visible triggers appended to target objects. These methods i