Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World. - Jiakai Wang; Aishan Liu; Zixin Yin; Shunchang Liu; Shiyu Tang; Xianglong Liu 001 (CVPR, 2021)

Harnessing Perceptual Adversarial Patches for Crowd Counting. - Shunchang Liu; Jiakai Wang; Aishan Liu; Yingwei Li 002; Yijie Gao; Xianglong Liu 001; Dacheng Tao (CCS, 2022)

Revisiting audio visual scene-aware dialog. - Aishan Liu; Huiyuan Xie; Xianglong Liu 001; Zixin Yin; Shunchang Liu (Neurocomputing, 2022)

Benchmarking the Robustness of Quantized Models. - Yisong Xiao; Tianyuan Zhang 004; Shunchang Liu; Haotong Qin (CoRR, 2023)

Boosting Cross-task Transferability of Adversarial Patches with Visual Relations. - Tony Ma; Songze Li; Yisong Xiao; Shunchang Liu (CoRR, 2023)

CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion Models. - Shunchang Liu; Zhuan Shi; Lingjuan Lyu; Yaochu Jin; Boi Faltings (CoRR, 2025)