Once and for All: Universal Transferable Adversarial Perturbation against Deep Hashing-Based Facial Image Retrieval. - Long Tang; Dengpan Ye; Yunna Lv; Chuanxi Chen; Yunming Zhang (AAAI, 2024)

Take Fake as Real: Realistic-like Robust Black-box Adversarial Attack to Evade AIGC Detection. - Caiyun Xie; Dengpan Ye; Yunming Zhang; Long Tang; Yunna Lv; Jiacheng Deng 003; Jiawei Song (CoRR, 2024)

Three-in-One: Robust Enhanced Universal Transferable Anti-Facial Retrieval in Online Social Networks. - Yunna Lv; Long Tang; Dengpan Ye; Caiyun Xie; Jiacheng Deng 003; Yiheng He (CoRR, 2024)

Three-in-One: Robust Enhanced Universal Transferable Anti-Facial Retrieval in Online Social Networks. - Yunna Lv; Long Tang; Dengpan Ye; Caiyun Xie; Jiacheng Deng 003; Yiheng He; Sipeng Shen (IEEE Trans. Inf. Forensics Secur., 2025)

Make the Most of Everything: Further Considerations on Disrupting Diffusion-based Customization. - Long Tang; Dengpan Ye; Sirun Chen; Xiuwen Shi; Yunna Lv; Ziyi Liu (CoRR, 2025)

Toward a Universal, Transferable, and Robust Adversarial Perturbation Framework Against Deep Hashing-Based Facial Image Retrieval. - Long Tang; Yunna Lv; Dengpan Ye; Yiheng He; Ziyi Liu 009; Caiyun Xie (IEEE Trans. Circuits Syst. Video Technol., 2025)