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 30+ papers in journals and conferences, including IEEE TIFS, IEEE TDSC, IEEE TMC, ICML, CVPR, AAAI, and ACM MM.

🔥 News

• 2026.07: 🎉🎉 One paper was accepted by IEEE TDSC 2026.
• 2026.07: 🎉🎉 Two papers were accepted by IEEE TVT 2026.
• 2026.06: 🎉🎉 One paper was accepted by IEEE TITS 2026.
• 2026.05: 🎉🎉 One paper was accepted by ICML 2026.
• 2026.04: 🎉🎉 One paper was accepted by IEEE TIFS 2026.
• 2026.03: 🎉🎉 One paper was accepted by IEEE TCE 2026.
• 2026.03: 🎉🎉 One paper was accepted by IEEE TVT 2026.
• 2026.02: 🎉🎉 One paper was accepted by CVPR 2026.
• 2026.01: 🎉🎉 One paper was accepted by IEEE TDSC 2026.
• 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, Mingxin Li, Libing Wu, Wei-Bin Lee and Jianping Wang. The Latent Guardian: Defending Collaborative Perception via Feature-Level Consistency Verification[C]//Proceedings of the 43rd International Conference on Machine Learning, PMLR, 2026, 306: 156696-156712. ICML 2026
• Yi Yu, Libing Wu*, Zhuangzhuang Zhang, Jing Qiu, Lijuan Huo and Jiaqi Feng. All Vehicles Can Lie: Efficient Adversarial Defense in Fully Untrusted-Vehicle Collaborative Perception via Pseudo-Random Bayesian Inference[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026, pp. 6549-6558. CVPR 2026
• Zhuangzhuang Zhang, Libing Wu*, Helei Cui, Zhibo Wang, Lijuan Huo, Jing Wang and Shengshan Hu. Heterogeneous Privacy-Preserving Federated Learning for Edge Intelligence[J]. IEEE Transactions on Information Forensics and Security, 2026, 21: 4402-4416. TIFS 2026
• Zhuangzhuang Zhang, Libing Wu*, Lijuan Huo, Jianhua Wang, Jiaqi Feng and Yi Yu. Learning Behavior Consistency-Based Backdoor Defense for Federated Learning[J]. IEEE Transactions on Dependable and Secure Computing, 2026, early access. TDSC 2026
• Jiaqi Feng, Libing Wu*, Lijuan Huo*, Zhuangzhuang Zhang, Xing Fan and Jiong Jin. Efficient Dynamic Auditing Scheme for Cloud Data Sharing of Intelligent Connected Fleet[J]. IEEE Transactions on Dependable and Secure Computing, 2026, 23(3): 5862-5874. TDSC 2026
• Bingyi Liu, Jinbo He, Haiyong Shi, Enshu Wang*, Weizhen Han*, Jingxiang Hao, Peixi Wang and Zhuangzhuang Zhang. CHDP: Cooperative Hybrid Diffusion Policies for Reinforcement Learning in Parameterized Action Space[C]//Proceedings of the AAAI Conference on Artificial Intelligence. 2026, 40(28): 23640-23648. AAAI 2026
• Yizhou Wang, Libing Wu*, Zhuangzhuang Zhang*, Lijuan Huo, Jiaqi Feng, Jing Wang and Jiong Jin. Transferable Adversarial Attacks on 3-D Point Cloud Semantic Segmentation via Diffusion Models in Autonomous Driving[J]. IEEE Transactions on Consumer Electronics, 2026, 72(2): 3905-3917. TCE 2026
• Yu Zhao, Libing Wu*, Jing Wang, Weihao Li, Jiong Jin, Zhuangzhuang Zhang and Yizhou Wang. LDSAV: Lightweight and Dynamically Scalable Authentication Key Agreement for Vehicle-Cloud Collaboration[J]. IEEE Transactions on Vehicular Technology, 2026, 75(8): 17710-17724. TVT 2026
• Taiyu Bao, Libing Wu*, Zhuangzhuang Zhang*, Lijuan Huo, Jing Qiu and Qin Liu. Triggering Phantom Obstacles: Black-Box Physical Adversarial Attacks Against MDE for Autonomous Vehicles[J]. IEEE Transactions on Vehicular Technology, 2026, early access. TVT 2026
• Rui Zhang, Hongyu Ren, Di Wu*, Zhuangzhuang Zhang and Xiaojun Lu. Secure and Resilient Cluster Head Election for UAV-assisted IoV: A Synergistic Approach with Trust Fusion and Dynamic Fitness[J]. IEEE Transactions on Vehicular Technology, 2026, 75(10): 24595-24605. TVT 2026
• Taiyu Bao, Libing Wu*, Enshu Wang, Bingyi Liu, Zhuangzhuang Zhang*, Lijuan Huo and Xinchen Li. BADPatch: Closed-Box Adversarial Depth Patch for Inducing Vehicle Vanishing on Monocular Depth Estimation[J]. IEEE Transactions on Intelligent Transportation Systems, 2026, early access. TITS 2026
• 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[J]. IEEE Transactions on Mobile Computing, 2026, 25(5): 6292-6305. TMC 2026
• 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, 24(12): 13615-13632. 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, 20: 6356-6370. 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]//Proceedings of the 33rd ACM International Conference on Multimedia, 2025, pp. 11947-11955. ACM MM 2025
• Yi Yu, Weizhen Han, Libing Wu*, Bingyi Liu, Enshu Wang, Zhuangzhuang Zhang. Enduring, Efficient and Robust Trajectory Prediction Attack in Autonomous Driving via Optimization-Driven Multi-Frame Perturbation Framework[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025, pp. 17229-17238. CVPR 2025
• Yizhou Wang, Libing Wu*, Yue Cao, Jiong Jin, Zhuangzhuang Zhang*, Enshu Wang, Chao Ma and Yu Zhao. A Highly Transferable Camouflage Attack Against Object Detectors in the Physical World[J]. IEEE Transactions on Intelligent Transportation Systems, 2025, 26(7): 10373-10385. TITS 2025
• Yizhou Wang, Libing Wu*, Jiong Jin, Enshu Wang, Zhuangzhuang Zhang, Yu Zhao. An Imperceptible Adversarial Attack Against 3-D Object Detectors in Autonomous Driving[J]. IEEE Internet of Things Journal, 2025, 12(12): 21404-21414. IoTJ 2025
• Yijun Pu, Libing Wu*, Zhuangzhuang Zhang*, Xianjun Deng, Bingyi Liu, Enshu Wang and Shenghao Liu. APC: Adaptive Platoon Control Scheme for Urban Traffic Signal Intersections[J]. IEEE Transactions on Vehicular Technology, 2025, 74(8): 12951-12965. 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, 20: 2778-2792. TIFS 2025
• 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, 2025, 22(2): 1760-1774. TNSM 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, 9(6): 848-861. TSUSC 2024
• Lijuan Huo, Libing Wu*, Zhuangzhuang Zhang*, Chunshuo Li, Debiao He, and Jing Wang. Libras: A Fair, Secure, Verifiable, and Scalable Outsourcing Computation Scheme Based on Blockchain[J]. IEEE Transactions on Information Forensics and Security, 2024, 19: 5725-5737. TIFS 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, 18: 365-379. TIFS 2023 🏆 (ESI Highly Cited Paper)
• 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, 37(4): 112-119. 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, 19(4): 4219-4231. 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).