Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-Relational Extraction. - Shuchi Wu; Chuan Ma 001; Kang Wei; Xiaogang Xu 002; Ming Ding 001; Yuwen Qian; Tao Xiang 001 (CoRR, 2023)

Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-relational Extraction. - Shuchi Wu; Chuan Ma 001; Kang Wei; Xiaogang Xu 002; Ming Ding 001; Yuwen Qian; Di Xiao 001; Tao Xiang 001 (ECCV (34), 2024)

Towards Efficient Backdoor Attacks Against Federated Self-supervised Learning as a Service Through Intra-Union Aggregation. - Shuchi Wu; Chuan Ma 001; Kang Wei; Ming Ding 001; Jiyun Yang; Yuwen Qian (ICSS, 2024)

EmInspector: Combating Backdoor Attacks in Federated Self-Supervised Learning Through Embedding Inspection. - Yuwen Qian; Shuchi Wu; Kang Wei; Ming Ding 001; Di Xiao 001; Tao Xiang 001; Chuan Ma 001; Song Guo 001 (CoRR, 2024)

Tuning LLMs by RAG Principles: Towards LLM-native Memory. - Jiale Wei; Shuchi Wu; Ruochen Liu; Xiang Ying; Jingbo Shang; Fangbo Tao (CoRR, 2025)