Jiejie Zhao — accepted AI-conference papers

2025

Harnessing Global-Local Collaborative Adversarial Perturbation for Anti-Customization

Long Xu, Jiakai Wang, Haojie Hao, Haotong Qin, Jiejie Zhao, Xianglong Liu

CVPR 2025poster

Though achieving significant success in personalized image synthesis, Latent Diffusion Models (LDMs) pose substantial social risks caused by unauthorized misuse (e.g., face theft). To counter these threats, the Anti-Customization (AC) method that exploits adversarial perturbations was proposed. Unfo…

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2024

NAPGuard: Towards Detecting Naturalistic Adversarial Patches

Siyang Wu, Jiakai Wang, Jiejie Zhao, Yazhe Wang, Xianglong Liu

CVPR 2024poster

Recently the emergence of naturalistic adversarial patch (NAP) which possesses a deceptive appearance and various representations underscores the necessity of developing robust detection strategies. However existing approaches fail to differentiate the deep-seated natures in adversarial patches i.e.…

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