Yuke Hu

21 papers A* 3Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
LFS: A Locally Private Framework for Degree Statistic Estimation With Laplace Mechanism.
IEEE Trans. Inf. Forensics Secur.
Jiayu Li, Yuke Hu, Xiaoguang Li, Shiqi Zhou, Yuxiang Wang, Fenghua Li, Ben Niu
2025 A* conf
Membership Inference Attacks Against Vision-Language Models.
USENIX Security Symposium
Yuke Hu, Zheng Li, Zhihao Liu, Yang Zhang, Zhan Qin, Kui Ren, Chun Chen
2025 J jnl
Membership Inference Attacks Against Vision-Language Models.
CoRR
Yuke Hu, Zheng Li, Zhihao Liu, Yang Zhang, Zhan Qin, Kui Ren, Chun Chen
2025 J jnl
Module-Aware Parameter-Efficient Machine Unlearning on Transformers.
CoRR
Wenjie Bao, Jian Lou, Yuke Hu, Xiaochen Li, Zhihao Liu, Jiaqi Liu, Zhan Qin, Kui Ren
2025 J jnl
Privacy Risks of Federated Knowledge Graph Embedding: New Membership Inference Attacks and Personalized Differential Privacy Defense.
IEEE Trans. Dependable Secur. Comput.
Yuke Hu, Yang Wang, Jian Lou, Wei Liang, Ruofan Wu, Weiqiang Wang, Xiaochen Li, Jinfei Liu, Zhan Qin
2025 J jnl
Shadow in the Cache: Unveiling and Mitigating Privacy Risks of KV-cache in LLM Inference.
CoRR
Zhifan Luo, Shuo Shao, Su Zhang, Lijing Zhou, Yuke Hu, Chenxu Zhao, Zhihao Liu, Zhan Qin
2025 J jnl
Towards Evaluation for Real-World LLM Unlearning.
CoRR
Ke Miao, Yuke Hu, Xiaochen Li, Wenjie Bao, Zhihao Liu, Zhan Qin, Kui Ren
2025 J jnl
Towards Mitigating Excessive Forgetting in LLM Unlearning via Entanglement-Aware Unlearning with Proxy Constraint.
CoRR
Zhihao Liu, Jian Lou, Yuke Hu, Xiaochen Li, Tailun Chen, Yitian Chen, Zhan Qin
2024 — conf
A Quantitative Study of the Impact of Icon Complexity on Users' Sense of Control.
HCI (69)
Yuke Hu
2024 J jnl
Differentially Private Zeroth-Order Methods for Scalable Large Language Model Finetuning.
CoRR
Zhihao Liu, Jian Lou, Wenjie Bao, Yuke Hu, Bo Li, Zhan Qin, Kui Ren
2024 A* conf
ERASER: Machine Unlearning in MLaaS via an Inference Serving-Aware Approach.
CCS
Yuke Hu, Jian Lou, Jiaqi Liu, Wangze Ni, Feng Lin, Zhan Qin, Kui Ren
2024 J jnl
Location Privacy-Aware Task Offloading in Mobile Edge Computing.
IEEE Trans. Mob. Comput.
Zhibo Wang, Yunan Sun, Defang Liu, Jiahui Hu, Xiaoyi Pang, Yuke Hu, Kui Ren
2024 J jnl
Privacy Enhancement Via Dummy Points in the Shuffle Model.
IEEE Trans. Dependable Secur. Comput.
Xiaochen Li, Weiran Liu, Hanwen Feng, Kunzhe Huang, Yuke Hu, Jinfei Liu, Kui Ren, Zhan Qin
2024 J jnl
SWAT: A System-Wide Approach to Tunable Leakage Mitigation in Encrypted Data Stores.
Proc. VLDB Endow.
Leqian Zheng, Lei Xu, Cong Wang, Sheng Wang, Yuke Hu, Zhan Qin, Feifei Li, Kui Ren
2023 J jnl
ERASER: Machine Unlearning in MLaaS via an Inference Serving-Aware Approach.
CoRR
Yuke Hu, Jian Lou, Jiaqi Liu, Feng Lin, Zhan Qin, Kui Ren
2023 A* conf
Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding.
WWW
Yuke Hu, Wei Liang, Ruofan Wu, Kai Xiao, Weiqiang Wang, Xiaochen Li, Jinfei Liu, Zhan Qin
2023 J jnl
Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding.
CoRR
Yuke Hu, Wei Liang, Ruofan Wu, Kai Xiao, Weiqiang Wang, Xiaochen Li, Jinfei Liu, Zhan Qin
2023 J jnl
SWAT: A System-Wide Approach to Tunable Leakage Mitigation in Encrypted Data Stores.
CoRR
Leqian Zheng, Lei Xu, Cong Wang, Sheng Wang, Yuke Hu, Zhan Qin, Feifei Li, Kui Ren
2023 — conf
Towards Efficient Edge Learning for Large Models in Heterogeneous Resource-limited Environments.
BIGCOM
Defang Liu, Zhibo Wang, Xiaoyi Pang, Yunan Sun, Jiahui Hu, Peng Sun, Yuke Hu
2022 J jnl
OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization.
CoRR
Xiaochen Li, Yuke Hu, Weiran Liu, Hanwen Feng, Li Peng, Yuan Hong, Kui Ren, Zhan Qin
2022 J jnl
OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization.
Proc. VLDB Endow.
Xiaochen Li, Yuke Hu, Weiran Liu, Hanwen Feng, Li Peng, Yuan Hong, Kui Ren, Zhan Qin