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 received my PhD degree from Renmin University of China in 2020, and joined the Hong Kong Polytechnic University as a Research Assistant Professor since then. In 2022, I was promoted as an Assistant Professor. 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 2024 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
- Nov. 2023: Our paper “DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release” is accepted by International Conference on Very Large Databases (VLDB 2024).
- Nov. 2023: Our paper “Utility-Aware Time Series Data Release with Anomalies under TLDP” is accepted by IEEE Transactions on Mobile Computing (TMC).
- Oct. 2023: Our paper “DeepMark: A Scalable and Robust Framework for DeepFake Video Detection” is accepted by ACM Transactions on Privacy and Security (TOPS).
- Sep. 2023: Our paper “Collecting Multi-type and Correlation-Constrained Streaming Sensor Data with Local Differential Privacy” is accepted by ACM Transactions on Sensor Networks (TOSN).
- Aug. 2023: Our paper “TED+: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database” is accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE).
- Aug. 2023: A research project entitled “本地化差分隐私攻防之数据重构攻击研究” is awarded by NSFC (面上项目) with CNY 500,000 (2024.01-2027.12).
- Jun. 2023: A General Research Fund (GRF) entitled “Small Leaks Sink Great Ships: Data Recovery Attacks and Defense in Local Differential Privacy” is awarded by Research Grant Council with HK$ 1,096,927 (2024.01-2026.12).
- Jun. 2023: Our paper “PUTS: Privacy-Preserving and Utility-Enhancing Framework for Trajectory Synthesization” is accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE).
- Jun. 2023: Our paper “Collaborative Sampling for Partial Multi-dimensional Value Collection under Local Differential Privacy” is accepted by IEEE Transactions on Information Forensics and Security (TIFS).
- May 2023: Our paper “Trajectory Data Collection with Local Differential Privacy” is accepted by International Conference on Very Large Databases (VLDB 2023).
- Apr. 2023: Our paper “3DFed: Adaptive and Extensible Framework for Covert Backdoor Attack in Federated Learning” is accepted by IEEE Symposium on Security and Privacy (S&P 2023).
- Feb. 2023: Our paper “Differential Aggregation against General Colluding Attackers” is accepted by IEEE International Conference on Data Engineering (ICDE 2023).
- Jan. 2023: Our paper “Synthesizing Realistic Trajectory Data with Differential Privacy” is accepted by IEEE Transactions on Intelligent Transportation Systems (TITS).