Yuke Hu

According to our database, Yuke Hu authored at least 14 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Shadow in the Cache: Unveiling and Mitigating Privacy Risks of KV-cache in LLM Inference.

Zhifan Luo, Shuo Shao, Su Zhang, Lijing Zhou, Yuke Hu, Chenxu Zhao, Zhihao Liu, Zhan Qin

CoRR, August, 2025

Towards Evaluation for Real-World LLM Unlearning.

Ke Miao, Yuke Hu, Xiaochen Li, Wenjie Bao, Zhihao Liu, Zhan Qin, Kui Ren

CoRR, August, 2025

Membership Inference Attacks Against Vision-Language Models.

Yuke Hu, Zheng Li, Zhihao Liu, Yang Zhang, Zhan Qin, Kui Ren, Chun Chen

CoRR, January, 2025

Privacy Risks of Federated Knowledge Graph Embedding: New Membership Inference Attacks and Personalized Differential Privacy Defense.

Yuke Hu, Yang Wang, Jian Lou, Wei Liang, Ruofan Wu, Weiqiang Wang, Xiaochen Li, Jinfei Liu, Zhan Qin

IEEE Trans. Dependable Secur. Comput., 2025

2024

SWAT: A System-Wide Approach to Tunable Leakage Mitigation in Encrypted Data Stores.

Leqian Zheng, Lei Xu, Cong Wang, Sheng Wang, Yuke Hu, Zhan Qin, Feifei Li, Kui Ren

Proc. VLDB Endow., June, 2024

Location Privacy-Aware Task Offloading in Mobile Edge Computing.

Zhibo Wang, Yunan Sun, Defang Liu, Jiahui Hu, Xiaoyi Pang, Yuke Hu, Kui Ren

IEEE Trans. Mob. Comput., March, 2024

Privacy Enhancement Via Dummy Points in the Shuffle Model.

Xiaochen Li, Weiran Liu, Hanwen Feng, Kunzhe Huang, Yuke Hu, Jinfei Liu, Kui Ren, Zhan Qin

IEEE Trans. Dependable Secur. Comput., 2024

Differentially Private Zeroth-Order Methods for Scalable Large Language Model Finetuning.

Zhihao Liu, Jian Lou, Wenjie Bao, Yuke Hu, Bo Li, Zhan Qin, Kui Ren

CoRR, 2024

A Quantitative Study of the Impact of Icon Complexity on Users' Sense of Control.

Yuke Hu

Proceedings of the HCI International 2024 - Late Breaking Papers, 2024

ERASER: Machine Unlearning in MLaaS via an Inference Serving-Aware Approach.

Yuke Hu, Jian Lou, Jiaqi Liu, Wangze Ni, Feng Lin, Zhan Qin, Kui Ren

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

ERASER: Machine Unlearning in MLaaS via an Inference Serving-Aware Approach.

Yuke Hu, Jian Lou, Jiaqi Liu, Feng Lin, Zhan Qin, Kui Ren

CoRR, 2023

Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding.

Yuke Hu, Wei Liang, Ruofan Wu, Kai Xiao, Weiqiang Wang, Xiaochen Li, Jinfei Liu, Zhan Qin

Proceedings of the ACM Web Conference 2023, 2023

Towards Efficient Edge Learning for Large Models in Heterogeneous Resource-limited Environments.

Defang Liu, Zhibo Wang, Xiaoyi Pang, Yunan Sun, Jiahui Hu, Peng Sun, Yuke Hu

Proceedings of the 9th International Conference on Big Data Computing and Communications, 2023

2022

OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization.

Xiaochen Li, Yuke Hu, Weiran Liu, Hanwen Feng, Li Peng, Yuan Hong, Kui Ren, Zhan Qin

Proc. VLDB Endow., 2022