Rui Zhang
Postdoctoral Research Fellow
The University of Hong Kong (HKU)
About me
I am a Postdoctoral Research Fellow at the School of Computing and Data Science (CDS) of The University of Hong Kong (HKU), working with Prof. Ka-Ho Chow. Before that, I obtained my Ph.D. in Computer Science from The Hong Kong Polytechnic University (PolyU). My research interests include AI security & privacy, trustworthy machine learning, distributed learning, and LLM-based applications.
I am always open to academic discussions and research collaborations. Please feel free to drop me an email!
Publications
The full list of publications is on Google Scholar.
GDBR: Label Recovery Attack Against Partial Gradient Encryption in Federated Learning
Rui Zhang and Ka-Ho Chow
IEEE European Symposium on Security and Privacy (EuroS&P), 2026
Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning
Junjie Shan, Ziqi Zhao, Jialin Lu, Rui Zhang, Siu Ming Yiu, and Ka-Ho Chow
International Conference on Computer Vision (ICCV), 2025
GradFilt: Class-wise Targeted Data Reconstruction from Gradients in Federated Learning
Rui Zhang, Song Guo, and Ping Li
The Web Conference (WWW), 2024
Posterior Probability-based Label Recovery Attack in Federated Learning
Rui Zhang, Song Guo, and Ping Li
ICLR PML Workshop, 2024
A Survey on Gradient Inversion: Attacks, Defenses and Future Directions
Rui Zhang, Song Guo, Junxiao Wang, Xin Xie, and Dacheng Tao
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Cycle: Sustainable Off-Chain Payment Channel Network with Asynchronous Rebalancing
Zicong Hong, Song Guo, Rui Zhang, Peng Li, Yunfeng Zhan, and Wuhui Chen
International Conference on Dependable Systems and Networks (DSN), 2022
GDBR: Label Recovery Attack Against Partial Gradient Encryption in Federated Learning
Rui Zhang and Ka-Ho Chow
IEEE European Symposium on Security and Privacy (EuroS&P), 2026
Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning
Junjie Shan, Ziqi Zhao, Jialin Lu, Rui Zhang, Siu Ming Yiu, and Ka-Ho Chow
International Conference on Computer Vision (ICCV), 2025
GradFilt: Class-wise Targeted Data Reconstruction from Gradients in Federated Learning
Rui Zhang, Song Guo, and Ping Li
The Web Conference (WWW), 2024
Posterior Probability-based Label Recovery Attack in Federated Learning
Rui Zhang, Song Guo, and Ping Li
ICLR PML Workshop, 2024
Privacy Inference for Data Auditing
Rui Zhang and Song Guo
International Symposium on AI, Data and Digitalization (SAIDD), 2023
MGIA: Mutual Gradient Inversion Attack in MultiModal Federated Learning (Student Abstract)
Xuan Liu, Siqi Cai, Lin Li, Rui Zhang, and Song Guo
AAAI Conference on Artificial Intelligence (AAAI), 2023
A Survey on Gradient Inversion: Attacks, Defenses and Future Directions
Rui Zhang, Song Guo, Junxiao Wang, Xin Xie, and Dacheng Tao
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Cycle: Sustainable Off-Chain Payment Channel Network with Asynchronous Rebalancing
Zicong Hong, Song Guo, Rui Zhang, Peng Li, Yunfeng Zhan, and Wuhui Chen
International Conference on Dependable Systems and Networks (DSN), 2022
A Novel Pseudonym Linking Scheme for Privacy Inference in VANETs
Rui Zhang, Xin Wang, Peng Cheng, and Jiming Chen
Vehicular Technology Conference (VTC), 2020
An Industrial Control System Testbed for the Encrypted Controller
Xing Li, Mengxiang Liu, Rui Zhang, Peng Cheng, and Jiming Chen
International Conference on Cyber-Physical Systems (ICCPS), 2018
A Simulation-based Platform for Privacy Preservation Research in VANETs
Peng Cheng, Rui Zhang, Linkang Du, and Jiming Chen
Chinese Patent (No. CN110189517B), 2020
Services
- NeurIPS (2026)
- ICML (Top reviewer) (2026)
- ICLR (2025-2026)
- CVPR (2024-2026)
- AAAI (2025-2026)
- ICCV (2025)
- IJCAI (2024-2025)
- IEEE Transactions on Parallel and Distributed Systems (TPDS)
- ACM Computing Surveys
- Journal of Sensors
- IEEE Access
- Web Chair, Computer Graphics International (CGI) (2025)
- PC Member, AAAI (2025-2026)
- PC Member, IJCAI (2024-2025)
Teachings
Teaching Assistant at PolyU:
- Machine Learning (COMP4432) - Spring 2023
- Artificial Intelligence (COMP4431) - Fall 2022
- Artificial Intelligence (COMP4431) - Fall 2021
- Wireless Network and Mobile Computing (COMP5327) - Spring 2021