OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization. - Xiaochen Li; Yuke Hu; Weiran Liu; Hanwen Feng 001; Li Peng; Yuan Hong 001; Kui Ren 001; Zhan Qin (Proc. VLDB Endow., 2022)

Towards Efficient Edge Learning for Large Models in Heterogeneous Resource-limited Environments. - Defang Liu; Zhibo Wang 001; Xiaoyi Pang; Yunan Sun; Jiahui Hu; Peng Sun 003; Yuke Hu (BIGCOM, 2023)

Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding. - Yuke Hu; Wei Liang; Ruofan Wu; Kai Xiao; Weiqiang Wang 002; Xiaochen Li; Jinfei Liu; Zhan Qin (WWW, 2023)

ERASER: Machine Unlearning in MLaaS via an Inference Serving-Aware Approach. - Yuke Hu; Jian Lou 001; Jiaqi Liu 003; Feng Lin 004; Zhan Qin; Kui Ren 001 (CoRR, 2023)

ERASER: Machine Unlearning in MLaaS via an Inference Serving-Aware Approach. - Yuke Hu; Jian Lou 001; Jiaqi Liu 003; Wangze Ni; Feng Lin 004; Zhan Qin; Kui Ren 001 (CCS, 2024)

A Quantitative Study of the Impact of Icon Complexity on Users' Sense of Control. - Yuke Hu (HCI (69), 2024)

Differentially Private Zeroth-Order Methods for Scalable Large Language Model Finetuning. - Zhihao Liu; Jian Lou 001; Wenjie Bao; Yuke Hu; Bo Li 126; Zhan Qin; Kui Ren 001 (CoRR, 2024)

Privacy Enhancement Via Dummy Points in the Shuffle Model. - Xiaochen Li; Weiran Liu; Hanwen Feng 001; Kunzhe Huang; Yuke Hu; Jinfei Liu; Kui Ren 001; Zhan Qin (IEEE Trans. Dependable Secur. Comput., 2024)

Location Privacy-Aware Task Offloading in Mobile Edge Computing. - Zhibo Wang 001; Yunan Sun; Defang Liu; Jiahui Hu; Xiaoyi Pang; Yuke Hu; Kui Ren 001 (IEEE Trans. Mob. Comput., 2024)

SWAT: A System-Wide Approach to Tunable Leakage Mitigation in Encrypted Data Stores. - Leqian Zheng; Lei Xu 019; Cong Wang 001; Sheng Wang 011; Yuke Hu; Zhan Qin; Feifei Li 001; Kui Ren 001 (Proc. VLDB Endow., 2024)

Privacy Risks of Federated Knowledge Graph Embedding: New Membership Inference Attacks and Personalized Differential Privacy Defense. - Yuke Hu; Yang Wang; Jian Lou 001; Wei Liang; Ruofan Wu; Weiqiang Wang; Xiaochen Li; Jinfei Liu; Zhan Qin (IEEE Trans. Dependable Secur. Comput., 2025)

Membership Inference Attacks Against Vision-Language Models. - Yuke Hu; Zheng Li; Zhihao Liu; Yang Zhang; Zhan Qin; Kui Ren 001; Chun Chen 001 (CoRR, 2025)

Towards Evaluation for Real-World LLM Unlearning. - Ke Miao; Yuke Hu; Xiaochen Li; Wenjie Bao; Zhihao Liu; Zhan Qin; Kui Ren 001 (CoRR, 2025)

Shadow in the Cache: Unveiling and Mitigating Privacy Risks of KV-cache in LLM Inference. - Zhifan Luo; Shuo Shao 002; Su Zhang; Lijing Zhou; Yuke Hu; Chenxu Zhao; Zhihao Liu; Zhan Qin (CoRR, 2025)