Physical adversarial attacks against person detectors have evolved from localized patches to full-body textures. However, achieving both visual naturalness and strong attack effectiveness remains challenging. Existing natural-looking methods typically optimize camouflage textures as a whole, limiting the flexibility to...
Jinlei Wang, Jiahuan Long, Mingkai Sun et al.· 0 citations
InsCAT is proposed, an instance-level contrastive adversarial training framework that prevents detectors from using adversarial texture as an independent decision cue, and consistent gains across separately trained detectors demonstrate applicability across architectures with direct inference.
Yuanhao Huang, Yi-Long Ren, Jin-Lei Wang et al.· arXiv.org· 0 citations
AdvSerial is proposed, a dynamic 2D--3D joint optimization framework for generating continuous high-angle physical adversarial patches against pedestrian detectors in infrastructure-based scenarios and the results reveal persistent, temporally consistent failure modes under high-angle surveillance, and motivate the des...
Yuanhao Huang, Yi-Long Ren, Jinlei Wang et al.· Computer-Aided Civil and Inf...· 1 citation
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