Dr. Qingqing Ye

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
  • Mar. 2024: Our paper “Differentially Private Graph Neural Networks for Link Prediction” is accepted by IEEE International Conference on Data Engineering (ICDE 2024).
  • Mar. 2024: Our paper “PrivShape: Extracting Shapes in Time Series under User-Level Local Differential Privacy” is accepted by IEEE International Conference on Data Engineering (ICDE 2024).
  • Mar. 2024: Our paper “Interactive Trimming against Evasive Online Data Manipulation Attacks: A Game-Theoretic Approach” is accepted by IEEE International Conference on Data Engineering (ICDE 2024).
  • Feb. 2024: Our paper “LDPTube: Theoretical Utility Benchmark and Enhancement for LDP Mechanisms in High-dimensional Space” is accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE).
  • Feb. 2024: Our paper “A Federated Learning Framework Based on Differentially Private Continuous Data Release” is accepted by IEEE Transactions on Dependable and Secure Computing (TDSC).
  • Jan. 2024: Our paper “LDPGuard: Defenses against Data Poisoning Attacks to Local Differential Privacy Protocols” is accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE).
  • Jan. 2024: A research project entitled “Federated Graph Management and Querying: Subgraphs, Keywords, and Privacy” is awarded by Research Grant Council with HK$ 4,854,870 (2024.01-2026.12).
  • Dec. 2023: A research project entitled “Towards Provable On-Device Data Privacy for Complex Analytics and Its Applications” is funded by Huawei Technologies with HK$ 330,000 (2024.01-2024.12).
  • Dec. 2023: Our paper “EPS2: Privacy Preserving Set-Valued Data Analysis in the Shuffle Model” is accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE).
  • Dec. 2023: Our paper “LDPRecover: Recovering Frequencies from Poisoning Attacks against Local Differential Privacy” is accepted by IEEE International Conference on Data Engineering (ICDE 2024).
  • Dec. 2023: Our paper “FRESH: Towards Efficient Graph Queries in an Outsourced Graph” is accepted by IEEE International Conference on Data Engineering (ICDE 2024).

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