About me

I am an Assistant Professor in the Department of Electronic and Information Engineering, The Hong Kong Polytechnic University (PolyU) since 2022. I received my PhD degree from Renmin University of China in 2020, and joined PolyU as a Research Assistant Professor since then. My research interests include data privacy and security, and adversarial machine learning.

My list of publication can be found here, a summary of my research fields is here, and information of our research lab is here.

I am looking for self-motivated PhD student, Research Assistant and Postdoctoral Fellow in the field of data privacy and security, and adversarial machine learning. If you are interested, please send me your CV at qqing.ye@polyu.edu.hk.

News

• 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.
• Dec. 2022: Our paper “Stateful Switch: Optimized Time Series Release with Local Differential Privacy” is accepted by IEEE International Conference on Computer Communications (INFOCOM 2023).
• Sep. 2022: Our paper “TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database” is accepted by ACM International Conference of Management of Data (SIGMOD 2023).
• Sep. 2022: Our paper “MExMI: Pool-based Active Model Extraction Crossover Membership Inference” is accepted by Conference on Neural Information Processing Systems (NuerIPS 2022).
• May 2022: Our paper “VINCENT: Towards Efficient Exploratory Subgraph Search in Graph Databases” is accepted by International Conference on Very Large Databases (VLDB 2022).
• May 2022: Our paper “DDRM: A Continual Frequency Estimation Mechanism with Local Differential Privacy” is accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE).
• Mar. 2022: Our paper “Efficient Verifiably Encrypted ECDSA-Like Signatures and Their Applications” is accepted by IEEE Transactions on Information Forensics and Security (TIFS).
• Nov. 2021: Our paper “Utility Analysis and Enhancement of LDP Mechanisms in High-Dimensional Space” is accepted by IEEE International Conference on Data Engineering (ICDE 2022).
• Aug. 2021: A research project entitled “恶意敌手模型下的本地化差分隐私技术探索” is awarded by NSFC (青年科学基金项目) with CNY 300,000 (2022.01-2024.12).
• Aug. 2021: Our paper “PrivKVM*: Revisiting Key-Value Statistics Estimation with Local Differential Privacy” is accepted by IEEE Transactions on Dependable and Secure Computing (TDSC).
• Jun. 2021: A research project entitled “Byzantine-Robust Data Collection under Local Differential Privacy Model” is awarded by Research Grant Council, HKSAR with HK$ 838,393 (2022.01-2024.12).
• Apr. 2021: Our paper “Collecting High-Dimensional and Correlation-Constrained Data with Local Differential Privacy” is accepted by International Conference on Sensing, Communication and Networking (SECON 2021).
• Dec. 2020: Our paper “Beyond Value Perturbation: Local Differential Privacy in the Temporal Setting” is accepted by IEEE International Conference on Computer Communications (INFOCOM 2021).
• Dec 2020: Our paper “LF-GDPR: A Framework for Estimating Graph Metrics with Local Differential Privacy” is accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE).
• Dec. 2020: Our paper “Protecting Decision Boundary of Machine Learning Model with Differentially Private Perturbation” is accepted by IEEE Transactions on Dependable and Secure Computing (TDSC).
• Feb. 2020: Our paper “Towards Locally Differentially Private Generic Graph Metric Estimation” is accepted by IEEE International Conference on Data Engineering (ICDE 2020).