Rui Zhang (张瑞)
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News
[12/2024]: One paper named “Building Gradient Bridges: Label Leakage from Restricted Gradient Sharing in Federated Learning” is available on arXiv!
[12/2024]: I have received the third prize in the Four Minute Thesis (4MT) Competition at GLOBECOM 2024!
[11/2024]: I was shortlisted for the final round of the Four Minute Thesis (4MT) Competition at GLOBECOM 2024!
[03/2024]: One paper named “GradFilt: Class-wise Targeted Data Reconstruction from Gradients in Federated Learning” got accepted by WWW 2024!
[03/2024]: One paper named “Posterior Probability-based Label Recovery Attack in Federated Learning” got accepted by ICLR-PML 2024!
Biography
Rui Zhang is pursuing his Ph.D. degree in the Department of Computing at The Hong Kong Polytechnic University, co-supervised by Prof. Song Guo and Prof. Ping Li. Before that, he received his M.Eng. degree from Zhejiang University in 2020, co-supervised by Prof. Peng Cheng and Prof. Jiming Chen, and his B.Eng. degree from Northeastern University in 2017.
His research interest broadly lies in: Trustworthy Machine Learning, Federated Learning, and Differential Privacy. Some specific topics such as gradient inversion, label recovery, data auditing, and privacy-preserved learning are highly involved.
Education
Ph.D.: The Hong Kong Polytechnic University, Sep. 2020 - Now
Supervisors: Prof. Song Guo (IEEE Fellow) & Prof. Ping Li.
M.Eng.: Zhejiang University, Sep. 2017 - Jun. 2020
Supervisors: Prof. Peng Cheng & Prof. Jiming Chen (IEEE Fellow).
B.Eng.: Northeastern University, Sep. 2013 - Jun. 2017
Overall GPA: 90.0 / 100.0 (Top 5%).
Publications
Papers
GradFilt: Class-wise Targeted Data Reconstruction from Gradients in Federated Learning,
Rui Zhang, Song Guo, and Ping Li.
ACM Web Conference (WWW), 2024.
[PDF] [bibtex]
Posterior Probability-based Label Recovery Attack in Federated Learning,
Rui Zhang, Song Guo, and Ping Li.
ICLR Workshop on Privacy Regulation and Protection in Machine Learning (ICLR-PML), 2024.
[PDF] [bibtex]
Privacy Inference for Data Auditing,
Rui Zhang, and Song Guo.
International Symposium on AI, Data and Digitalization (SAIDD), 2023.
[PDF] [bibtex]
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.
[PDF] [bibtex]
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.
[PDF] [bibtex] [Video]
Cycle: Sustainable Off-Chain Payment Channel Network with Asynchronous Rebalancing,
Zicong Hong, Song Guo, Rui Zhang, Peng Li, Yunfeng Zhan, and Wuhui Chen.
IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2022.
[PDF] [bibtex] [Video]
A Novel Pseudonym Linking Scheme for Privacy Inference in VANETs,
Rui Zhang, Xin Wang, Peng Cheng, and Jiming Chen.
IEEE Vehicular Technology Conference (VTC), 2020.
[PDF] [bibtex]
An Industrial Control System Testbed for the Encrypted Controller,
Xing Li, Mengxiang Liu, Rui Zhang, Peng Cheng, and Jiming Chen.
ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), 2018.
[PDF] [bibtex]
Patents
A Simulation-based Platform for Privacy Preservation Research in VANETs,
Peng Cheng, Rui Zhang, Linkang Du, and Jiming Chen.
Chinese Patent No. CN110189517B, 2020.
Preprints
Building Gradient Bridges: Label Leakage from Restricted Gradient Sharing in Federated Learning,
Rui Zhang, Ka-Ho Chow, and Ping Li.
arXiv:2412.12640, 2024.
Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning,
Junjie Shan, Ziqi Zhao, Jialin Lu, Rui Zhang, Siu Ming Yiu, and Ka-Ho Chow.
arXiv:2411.14937, 2024.
Academic Services
Conference Reviewer
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR: 2024 / 2025)
International Joint Conference on Artificial Intelligence (IJCAI: 2022 / 2024 / 2025)
International Conference on Learning Representations (ICLR: 2025)
AAAI Conference on Artificial Intelligence (AAAI: 2022 / 2025)
IEEE International Conference on Computer Communications (INFOCOM: 2022 / 2023 / 2024)
International Conference on Pervasive Computing and Communications (PerCom: 2022)
IEEE Global Communications Conferences (GLOBECOM: 2019)
IEEE Vehicular Technology Conference (VTC: 2018 / 2019)
Journal Reviewer
IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS)
ACM Computing Surveys (ACM CUSR)
Journal of Sensors
IEEE Access
Professional Experiences
Teaching Experience
Teaching Assistant, Machine Learning (COMP4432), Spring 2023.
Teaching Assistant, Artificial Intelligence (COMP4431), Fall 2022.
Teaching Assistant, Artificial Intelligence (COMP4431), Fall 2021.
Teaching Assistant, Wireless Network and Mobile Computing (COMP5327), Spring 2021.
Internship Experience
Research Intern, Zhejiang Lab (之江实验室), Jul. 2019 - Sep. 2019.
Selected Honors & Awards
Third Prize in Four Minute Thesis (4MT) Competition.
Awarded by IEEE GLOBECOM, Dec. 2024.PolyU Fast-track PhD Scholarship.
Awarded by The Hong Kong Polytechnic University, Aug. 2020.Provincial Outstanding Postgraduate.
Awarded by Zhejiang Province, Jun. 2020.Graduate of Merit / Triple A Graduate.
Awarded by Zhejiang University, Dec. 2019.Endress+Hauser Scholarship.
Awarded by Endress+Hauser Fund, Nov. 2018.Provincial Outstanding Undergraduate.
Awarded by Hebei Province, June 2017.Outstanding Winner in ‘‘SIEMENS Cup’’ China Intelligent Manufacturing Challenge.
Awarded by SIEMENS China Ltd., Aug. 2016.National Scholarship.
Awarded by The Ministry of Education of China, Nov. 2015.