X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection

Aishan Liu, Jun Guo, Jiakai Wang +6

Adversarial attacks are valuable for evaluating the robustness of deep learning models. Existing attacks are primarily conducted on the visible light spectrum (e.g., pixel-wise tex…