Qingqing Ye (Vicky)

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 students, research assistants and postdocs 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

  • 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: Our paper “PrivKVM*: Revisiting Key-Value Statistics Estimation with Local Differential Privacy” is accepted by IEEE Transactions on Dependable and Secure Computing (TDSC).
  • 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).