Detecting Adversarial Patch Attacks through Global-local Consistency. - Bo Li 115; Jianghe Xu; Shuang Wu 001; Shouhong Ding; Jilin Li; Feiyue Huang (AdvM @ ACM Multimedia, 2021)

A Practical Data-Free Approach to One-shot Federated Learning with Heterogeneity. - Jie Zhang 081; Chen Chen 043; Bo Li 115; Lingjuan Lyu; Shuang Wu 001; Jianghe Xu; Shouhong Ding; Chao Wu 001 (CoRR, 2021)

Towards Efficient Data Free Blackbox Adversarial Attack. - Jie Zhang 081; Bo Li 115; Jianghe Xu; Shuang Wu 001; Shouhong Ding; Lei Zhang 197; Chao Wu 001 (CVPR, 2022)

Towards Practical Certifiable Patch Defense with Vision Transformer. - Zhaoyu Chen 001; Bo Li 115; Jianghe Xu; Shuang Wu 001; Shouhong Ding; Wenqiang Zhang (CVPR, 2022)

Shape Matters: Deformable Patch Attack. - Zhaoyu Chen 001; Bo Li 115; Shuang Wu 001; Jianghe Xu; Shouhong Ding; Wenqiang Zhang (ECCV (4), 2022)

Federated Learning with Label Distribution Skew via Logits Calibration. - Jie Zhang 081; Zhiqi Li 004; Bo Li 115; Jianghe Xu; Shuang Wu 001; Shouhong Ding; Chao Wu 001 (ICML, 2022)