I received my B.S. and M.S. degrees from Taiyuan University of Technology, Taiyuan, China, in 2017 and 2020, respectively, and my Ph.D. in Cyberspace Security from the School of Cyber Science and Engineering, Wuhan University, China, in 2024. I am currently a Postdoctoral Fellow with the Department of Computer Science, City University of Hong Kong, Hong Kong, China. My main research interests include AI security and autonomous vehicle security. I have published 20+ papers in the top journals and conferences, such as IEEE TIFS, IEEE TMC, CVPR, ACM MM.

🔥 News

• 2025.11: 🎉🎉 Our paper was accepted by TMC 2025.
• 2025.11: 🎉🎉 Our paper was accepted by AAAI 2026.
• 2025.07: 🎉🎉 Our paper was accepted by TMC 2025.

📝 Publications

• Zhuangzhuang Zhang, Libing Wu*, Zhibo Wang, Jiahui Hu, Chao Ma and Qin Liu. Cost-Efficient and Secure Federated Learning for Edge Computing[J]. IEEE Transactions on Mobile Computing, 2025, early access. TMC 2025
• Yajun Ma, Libing Wu*, Enshu Wang, Bingyi Liu, Zhuangzhuang Zhang, Hangxing Wei, Jing Wang. PV-STR: An Efficient Pseudonym Verification Scheme With Spatial-Temporal Revocation in IoVs, 2025, early access. TMC 2025
• Zhuangzhuang Zhang, Libing Wu*, Jiong Jin, Enshu Wang, Bingyi Liu, and Qing-Long Han. Secure Federated Learning for Cloud-Fog Automation: Vulnerabilities, Challenges, Solutions, and Future Directions[J]. IEEE Transactions on Industrial Informatics, 2025, 21(5): 3528-3540. TII 2025
• Jiaqi Feng, Libing Wu*, Xing Fan, Lijuan Huo, Enshu Wang, Zhuangzhuang Zhang*. Ascina: Efficient Proof of Retrievability for Industrial Cloud Storage Systems[J]. IEEE Transactions on Information Forensics and Security, 2025. TIFS 2025
• Xinhai Yan, Libing Wu*, Zhuangzhuang Zhang*, Bingyi Liu, Lijuan Huo, Jing Wang. FedBAP: Backdoor Defense via Benign Adversarial Perturbation in Federated Learning[C]//ACM MM 2025. ACM MM 2025
• Yi Yu, Weizhen Han, Libing Wu*, Bingyi Liu, Enshu Wang, Zhuangzhuang Zhang. Efficient and Robust Trajectory Prediction Attack in Autonomous Driving via Optimization-Driven Multi-Frame Perturbation Framework[C]//Proceedings of the Computer Vision and Pattern Recognition Conference. 2025. CVPR 2025
• Yizhou Wang, Libing Wu*, Yue Cao, Jiong Jin, Zhuangzhuang Zhang*, Enshu Wang. A Highly Transferable Camouflage Attack Against Object Detectors in the Physical World[J]. IEEE Transactions on Intelligent Transportation Systems, 2025. TITS 2025
• Yizhou Wang, Libing Wu*, Jiong Jin, Enshu Wang, Zhuangzhuang Zhang, Yu Zhao. An imperceptible adversarial attack against 3d object detectors in autonomous driving[J]. IEEE Internet of Things Journal, 2025. IoTJ 2025
• Yijun Pu, Libing Wu*, Zhuangzhuang Zhang*, Xianjun Deng, Bingyi Liu, Enshu Wang. APC: Adaptive Platoon Control Scheme for Urban Traffic Signal Intersections[J]. IEEE Transactions on Vehicular Technology, 2025. TVT 2025
• Lijuan Huo, Libing Wu*, Enshu Wang, Jinfei Liu, Chunshuo Li, Zeimei Liu, Zhuangzhuang Zhang*. NTTproofs: A Maintainable and Aggregatable Vector Commitment With Fast Openings and Updates[J]. IEEE Transactions on Information Forensics and Security, 2025. TIFS 2025
• Zhuangzhuang Zhang, Libing Wu*, Debiao He, Jianxin Li, Na Lu and Xuejiang Wei. Using Third-Party Auditor to Help Federated Learning: An Efficient Byzantine-robust Federated Learning[J]. IEEE Transactions on Sustainable Computing, 2024. TSUSC 2024
• Lijuan Huo, Libing Wu*, Zhuangzhuang Zhang*, Chunshuo Li, Debiao He, and Jing Wang. Libras: a Fair, Secure, Verifiable and Scalable Outsourcing Computing Scheme Based on Blockchain[J]. IEEE Transactions on Information Forensics and Security. TIFS 2024
• Shuqin Cao, Libing Wu*, Rui Zhang, Jianfeng Lu, Dan Wu, Zhuangzhuang Zhang. Hypergraph attention recurrent network for cellular traffic prediction[J]. IEEE Transactions on Network and Service Management, 2024. TNSM 2024
• Zhuangzhuang Zhang, Libing Wu*, Chuanguo Ma, Jianxin Li, Jing Wang, Qian Wang and Shui Yu. LSFL: A Lightweight and Secure Federated Learning Scheme for Edge Computing[J]. IEEE Transactions on Information Forensics and Security, 2023. TIFS 2023
• Zhuangzhuang Zhang, Libing Wu*, Debiao He, Jianxin Li, Shuqin Cao and Xianfeng Wu. Communication-Efficient and Byzantine-robust Federated Learning for Mobile Edge Computing Networks[J]. IEEE Network, 2023. IEEE Network 2023
• Zhuangzhuang Zhang, Libing Wu*, Debiao He, Qian Wang, Dan Wu, Xiaochuan Shi and Chao Ma. G-VCFL: Grouped Verifiable Chained Privacy-Preserving Federated Learning[J]. IEEE Transactions on Network and Service Management, 2022. TNSM 2022

🎖 Honors and Awards

• 2024 Excellent Doctoral Dissertation Award, ACM SIGAPP, ACM China
• 2024 Best Paper Award, IEEE International Conference on Smart City
• 2023 Outstanding Postgraduate Student, Wuhan University,
• 2022 First Prize in CCF Excellent Ph.D. Academic Forum, CCF Wuhan Branch

📖 Educations and Experiences

• 2024.08 - Now, City University of Hong Kong, Postdoctoral Fellow
• 2020.09 - 2024.06, Wuhan University, Ph.D.
• 2017.09 - 2020.06, Taiyuan University of Technology, M.S.
• 2013.09 - 2017.06, Taiyuan University of Technology, B.S.

💻 Service

• Reviewer: IEEE TIFS, IEEE JSAC, IJCAI, ICCV, IEEE IoTJ, IEEE TNSM, IEEE TNSE, etc.
• Program Committee Member: WASA (2024, 2025), HPCC (2025), TrustCom (2025).