Publications

Junxu Liu*, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng.
Cross-silo Federated Learning with Record-level Personalized Differential Privacy.
ACM Conference on Computer and Communications Security (CCS). 2024. (🏆 Distinguished Paper Award)
Junxu Liu*, Mingsheng Xue*, Jian Lou#, Xiaoyu Zhang, Li Xiong, and Zhan Qin.
MUter: Machine Unlearning on Adversarially Trained Models.
International Conference on Computer Vision (ICCV), 2023, pp. 4892-4902.
Junxu Liu*, Jian Lou, Li Xiong, and Xiaofeng Meng#.
Personalized Differentially Private Federated Learning without Exposing Privacy Budgets.

International Conference on Information and Knowledge Management (CIKM), 2023, pp. 4140-4144.

Junxu Liu*, Jian Lou, Li Xiong, Jinfei Liu, and Xiaofeng Meng#.
Projected Federated Averaging with Heterogeneous Differential Privacy.
International Conference on Very Large Data Bases (VLDB), 2022, 15(4), pp.828-840.
Junxu Liu* and Xiaofeng Meng#.
Survey on Privacy-preserving Machine Learning (in Chinese).
Journal of Computer Research and Development, 2020, 57(2), pp. 346-362. (Top 10 Most Cited Papers in 2020)

Yuemin Zhang, Qingqing Ye, Junxu Liu, Wei Dong
Answering Federated Range Queries with Local Differential Privacy
IEEE International Conference on Data Engineering (ICDE), accepted to appear, 2026.
Tairan Huang, Yulin Jin, Junxu Liu, Qingqing Ye, Haibo Hu
SEBA: Sample-Efficient Black-Box Attacks on Visual Reinforcement Learning
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), accepted to appear, 2026.
Zitong Li, Qingqing Ye, Haibo Hu, Xin Huang, Junxu Liu, Xiaofeng Meng.
SUGPT: Efficient Graph Unsummarization for the Right to Be Forgotten.
IEEE Transactions on Knowledge and Data Engineering (TKDE), accepted to appear, 2026.
Li Bai, Junxu Liu, Sen Zhang, Xinwei Zhang, Qingqing Ye, Haibo Hu
United We Defend: Collaborative Membership Inference Defenses in Federated Learning
USENIX Security Symposium, 2026.
Shiyu Zhang, Qingqing Ye, Junxu Liu, Kai Huang, Yulian Mao, Xinyue Sun, Wei Dong, Haibo Hu.
RATR: Optimized Trajectory Release with Temporal Local Differential Privacy
IEEE Transactions on Dependable and Secure Computing (TDSC), accepted to appear, 2025.
Jinfei Liu*, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, and Jimeng Sun
Dealer: an End-to-End Model Marketplace with Differential Privacy.
International Conference on Very Large Data Bases (VLDB), 2021, 14(6), pp. 957-969.