Qingqing Ye

Associate 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 associate 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.

I have openings for 2-4 PhD students (Spring/Fall 2027 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
  • Oct. 2026: Our paper “DP-HFGL: Heterogeneous Federated Graph Learning with Differential Privacy” is accepted by IEEE Transactions on Information Forensics and Security (TIFS).
  • Sep. 2026: Three papers are accepted by Annual Conference on Neural Information Processing Systems (NeurIPS 2026).
  • Sep. 2026: Our paper “Can a Single Message Paralyze the AI Infrastructure? The Rise of AbO-DDoS Attacks through Targeted Mobius Injection” is accepted by Network and Distributed System Security Symposium (NDSS 2027).
  • Sep. 2026: Our paper “LG-DCD: Evolution-Aware Local Differential Privacy for Dynamic Community Detection over Graphs” is accepted by IEEE International Conference on Data Engineering (ICDE 2027).
  • Jul. 2026: Our paper “MobileProbe: Adaptive Security Evaluation of Mobile Agents via Trajectory-Aware Injection” is accepted by Network and Distributed System Security Symposium (NDSS 2027).
  • Jul. 2026: Our paper “PMatch: A Secure Framework for Querying Private Localized Graph Patterns” is accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE).
  • Jul. 2026: I am invited to serve as Area Chair of AAAI’27.
  • Jul. 2026: Our paper “PrivFDM: Differentially Private Federated Diffusion Models for Image Synthesis” is accepted by ACM International Conference on Multimedia (MM 2026).
  • Jun. 2026: A research project entitled “Unlocking Relations in Noise: Relational Knowledge Mining with Local Differential Privacy” is awarded by Research Grant Council with HK$ 975,916 (2027.01-2029.12).

More