Assistant Professor
Department of Electrical and Electronic Engineering
The Hong Kong Polytechnic University
Email: [email protected]
Research Interests
- Differential privacy
- Adversarial machine learning
About Me
I am an Assistant Professor in the department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University. I received my PhD degree from Renmin University of China in 2020. My research interests include data privacy and security, and adversarial machine learning. You can refer to our research lab ASTAPLE for more information.
I am looking for PhD students (Fall 2025 Admission), Research Assistants, and Postdoctoral Fellows in the field of differential privacy, and adversarial machine learning. If you are interested, please send me your CV at [email protected].
News
- May 2025: Our paper ” ‘Yes, My LoRD.’ Guiding Language Model Extraction with Locality Reinforced Distillation” is accepted by Annual Meeting of the Association for Computational Linguistics (ACL 2025).
- May 2025: Our paper “Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks?” is accepted by International Conference on Machine Learning (ICML 2025).
- Mar. 2025: Our five papers are accepted by IEEE International Conference on Data Engineering (ICDE 2025).
- Mar. 2025: Our paper “RMR: A Relative Membership Risk Measure for Machine Learning Models” is accepted by IEEE Transactions on Dependable and Secure Computing (TDSC).
- Mar. 2025: Our paper “From Randomized Response to Randomized Index: Answering Subset Counting Queries with Local Differential Privacy” is accepted by IEEE Symposium on Security and Privacy (S&P 2025).
- Feb. 2025: Our paper “Privacy for Free: Leveraging Local Differential Privacy Perturbed Data from Multiple Services” is accepted by International Conference on Very Large Data Bases (VLDB 2025).
- Jan. 2025: Our paper “PrivRM: A Framework for Range Mean Estimation under Local Differential Privacy” is accepted by International Conference of Management of Data (SIGMOD 2025).
- Jan. 2025: Our paper “FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning” is accepted by The Web Conference (WWW 2025).
- Jan. 2025: Our paper “MER-Inspector: Assessing Model Extraction Risks from An Attack-Agnostic Perspective” is accepted by The Web Conference (WWW 2025).
- Jan. 2025: An ITF project entitled “Secure Multi-Party Data Sharing based on Differential Privacy” is awarded by Innovation and Technology Commission (ITC) with HK$ 1,084,975 (2025.04-2027.03).