Generating Unrestricted 3D Adversarial Point Clouds. - Xuelong Dai; Yanjie Li 006; Hua Dai 003; Bin Xiao 001 (CoRR, 2021)

A Physical-World Adversarial Attack Against 3D Face Recognition. - Yanjie Li 006; Yiquan Li; Bin Xiao 001 (CoRR, 2022)

Physical-World Optical Adversarial Attacks on 3D Face Recognition. - Yanjie Li 006; Yiquan Li; Xuelong Dai; Songtao Guo; Bin Xiao 001 (CVPR, 2023)

Adv-Inpainting: Generating Natural and Transferable Adversarial Patch via Attention-guided Feature Fusion. - Yanjie Li 006; Mingxing Duan; Bin Xiao 001 (CoRR, 2023)

Diffusion Models as Strong Adversaries. - Xuelong Dai; Yanjie Li 006; Mingxing Duan; Bin Xiao 001 (IEEE Trans. Image Process., 2024)

A Survey of Robustness and Safety of 2D and 3D Deep Learning Models against Adversarial Attacks. - Yanjie Li 006; Bin Xie 006; Songtao Guo; Yuanyuan Yang 001; Bin Xiao 001 (ACM Comput. Surv., 2024)

Improving Transferable Targeted Attacks with Feature Tuning Mixup. - Kaisheng Liang; Xuelong Dai; Yanjie Li 006; Dong Wang 042; Bin Xiao 001 (CVPR, 2025)

UV-Attack: Physical-World Adversarial Attacks on Person Detection via Dynamic-NeRF-based UV Mapping. - Yanjie Li 006; Kaisheng Liang; Bin Xiao 001 (ICLR, 2025)

Generative AI model privacy: a survey. - Yihao Liu; Jinhe Huang; Yanjie Li 006; Dong Wang 042; Bin Xiao 001 (Artif. Intell. Rev., 2025)

StyleGuard: Preventing Text-to-Image-Model-based Style Mimicry Attacks by Style Perturbations. - Yanjie Li 006; Wenxuan Zhang; Xinqi Lyu; Yihao Liu; Bin Xiao 001 (CoRR, 2025)

PLA: Prompt Learning Attack against Text-to-Image Generative Models. - Xinqi Lyu; Yihao Liu; Yanjie Li 006; Bin Xiao 001 (CoRR, 2025)

Enhancing Targeted Adversarial Attacks on Large Vision-Language Models through Intermediate Projector Guidance. - Yiming Cao; Yanjie Li 006; Kaisheng Liang; Yuni Lai; Bin Xiao 001 (CoRR, 2025)

AgentTypo: Adaptive Typographic Prompt Injection Attacks against Black-box Multimodal Agents. - Yanjie Li 006; Yiming Cao; Dong Wang 042; Bin Xiao 001 (CoRR, 2025)