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 RenIn ACM Conference on Computer and Communications Security (CCS), 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 RenIn International Conference on Very Large Data Bases (VLDB), 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 RenCoRR abs/2402.07818, 2024
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 QinIn International World Wide Web Conference (WWW), 2023, spotlight
Privacy enhancement via dummy points in the shuffle model
Xiaochen Li, Weiran Liu, Hanwen Feng, Kunzhe Huang, Yuke Hu, Jinfei Liu, Kui Ren, Zhan QinIn IEEE Transactions on Dependable and Secure Computing (TDSC), 2023
Location privacy-aware task offloading in mobile edge computing
Zhibo Wang, Yunan Sun, Defang Liu, Jiahui Hu, Xiaoyi Pang, Yuke Hu, Kui RenIn IEEE Transactions on Mobile Computing (TMC), 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 QinIn International Conference on Very Large Data Bases (VLDB) 2022
* presents equal contribution