I am an Associate Professor in School of Information Engineering at Yangzhou University. I got my Ph.D degree in April 2021 from the College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, China, supervised by Prof. Bing Chen. From October 2018 to September 2019, I was a visiting student of Prof. Shui Yu at University of Technology Sydney. My research interest includes AI Security, Federated Learning, and LLM Security. I have published 50+ papers at the referred international Security/AI conferences and journals such as CVPR, IJCAI, WWW, TIFS, TDSC, TSC, TR, TAI, COSE. I was chaired over more than 10 projects from the Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province, and China Postdoctoral Science Foundation, etc. I was selected in Jiangsu Provincial Young Sci-Tech Talent Support Program and received Youth Sci-Tech Awards from both the Jiangsu Cyber Security Association and Jiangsu Information Technology Application Society.

🔥 News

• 2025.11:  🎉🎉 One paper is accepted by TIFS, congrats to Wanquan Zhu!
• 2025.11:  🎉🎉 One paper is accepted by TIFS, congrats to Hao Sui!
• 2025.11:  🎉🎉 One paper is accepted by AAAI, congrats to Yanan Wang!
• 2025.06: Haoxuan Li obtained the scholarship for visiting the Hong Kong Polytechnic University (Prof. Xiaopu Luo) for 6 months!
• 2025.06: Bosen Rao obtained the scholarship for visiting the Hong Kong Polytechnic University (Prof. Haibo Hu) for 6 months!
• 2025.06: I was chaired China Postdoctoral Science Foundation, No.18 Special Fund!
• 2025.06:  🎉🎉 One paper is accepted by CVPR, congrats to Ye Li!
• 2025.04:  🎉🎉 One paper is accepted by WWW, congrats to Haoxuan Li!
• 2025.02:  🎉🎉 One paper is accepted by IEEE TAI, congrats to Bosen Rao!
• 2024.11: Chengcheng Zhu obtained the scholarship for visiting the Hong Kong Polytechnic University (Prof. Haibo Hu) for 6 months!
• 2024.06:  🎉🎉 One paper is accepted by IEEE TSC, congrats to Hao Sui!
• 2024.04:  🎉🎉 One paper is accepted by IEEE TIFS, congrats to Chengcheng Zhu!
• 2024.01:  🎉🎉 One paper is accepted by IEEE TDSC, congrats to Chengcheng Zhu!

📝 Publications

• TIFS 2026 SSLDefender: Backdoor Defense in Self-Supervised Learning via Distillation-guided Unlearning, Jiale Zhang, Wanquan Zhu, Kai Wang, Chengcheng Zhu, Xiaobing Sun, Weizhi Meng, Xiapu Luo. (CCF-A)
• TIFS 2026 GraphCleanse: Defending Backdoor Attacks in Graph Learning via Contrastive Training, Jiale Zhang, Hao Sui, Wanquan Zhu, Chengcheng Zhu, Xiaobing Sun, Chunpeng Ge, Bing Chen, Mingsheng Cao. (CCF-A)
• AAAI 2026 MULTIKD: Backdoor Defense in Federated Graph Learning via Attention-Guided Multi-Teacher Distillation, Jiale Zhang, Yanan Wang, Bosen Rao, Chengcheng Zhu, Xiaobing Sun, Yu Li. (CCF-A)
• CVPR 2025 Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning, Ye Li, Yanchao Zhao, Chengcheng Zhu, Jiale Zhang. (CCF-A)
• WWW 2025 Beyond Dataset Watermarking: Model-Level Copyright Protection for Code Summarization Models, Jiale Zhang, Haoxuan Li, Di Wu, Xiaobing Sun, Qinghua Lu, Guodong Long. (CCF-A)
• ICASSP 2025 FedRPN: An Efficient Framework for Optimizing System Heterogeneity in Federated Learning, Baolu Xue, Hanyuan Zheng, Jiale Zhang, Jiewen Liu, Bing Chen. (CCF-B)
• TAI 2025 Privacy Inference Attack and Defense in Centralized and Federated Learning: A Comprehensive Survey, Bosen Rao, Jiale Zhang, Di Wu, Chengcheng Zhu, Xiaobing Sun, Bing Chen.
• ESWA 2025 EPAD: Ethereum phishing scam detection via graph contrastive learning, Hao Sui, Jiale Zhang, Bing Chen, Di Wu, Xiaobing Sun, Shivakumara Palaiahnakote. (JCR Q1)
• IoTJ 2025 FedMLC: White-box Model Watermarking for Copyright Protection in Federated Learning for IoT Environment, Weitong Chen, Wei Zhang, Di Wu, Anja Keskinarkaus, Tapio Seppänen, Jiale Zhang, Longxiang Gao, Tom H Luan. (JCR Q1)
• ESWA 2025 SFFL: Self-Aware Fairness Federated Learning Framework for Heterogeneous Data Distributions, Jiale Zhang, Ye Li, Di Wu, Yanchao Zhao, Shivakumara Palaiahnakote. (JCR Q1)
• IJCAI 2024 Badfss: backdoor attacks on federated self-supervised learning, Jiale Zhang, Chengcheng Zhu, Xiaobing Sun Di Wu, Jianming Yong, Guodong Long. (CCF A)
• TSC 2024 GrabPhisher: Phishing Scams Detection in Ethereum via Temporally Evolving GNNs, Jiale Zhang, Hao Sui, Xiaobing Sun, Chunpeng Ge, Lu Zhou, Willy Susilo. (CCF A)
• TIFS 2024 FLPurifier: Backdoor Defense in Federated Learning via Decoupled Contrastive Training, Jiale Zhang, Chengcheng Zhu, Xiaobing Sun, Chunpeng Ge, Bing Chen, Willy Susilo, Shui Yu. (CCF A)
• IoTJ 2024 EXVUL: Towards Effective and Explainable Vulnerability Detection for IoT Devices, Sicong Cao, Xiaobing Sun, Wei Liu, Di Wu, Jiale Zhang, Yan Li, Tom H Luan, Longxiang Gao. (JCR Q1)
• JSEP 2024 Application programming interface recommendation for smart contract using deep learning from augmented code representation, Jie Cai, Qian Cai, Bin Li, Jiale Zhang, Xiaobing Sun. (CCF-B)
• 通信学报 2024 基于对比训练的联邦学习后门防御方法, 张佳乐, 朱诚诚, 成翔, 孙小兵, 陈兵. (CCF-T1)
• JSS 2024 Fine-grained smart contract vulnerability detection by heterogeneous code feature learning and automated dataset construction, Jie Cai, Bin Li, Tao Zhang, Jiale Zhang, Xiaobing Sun. (CCF-B)
• TDSC 2024 BadCleaner: Defending Backdoor Attacks in Federated Learning Via Attention-Based Multi-Teacher Distillation, Jiale Zhang, Chengcheng Zhu, Chunpeng Ge, Chuan Ma, Yanchao Zhao, Xiaobing Sun, Bing Chen. (CCF-A)
• TR 2023 Ponzi Scheme Detection in Smart Contract via Transaction Semantic Representation Learning, Jie Cai, Bin Li, Jiale Zhang, Xiaobing Sun. (JCR Q1)
• FGCS 2023 LAFED: A lightweight authentication mechanism for blockchain-enabled federated learning system, Shan Ji, Jiale Zhang, Yongjing Zhang, Zhaoyang Han, Chuan Ma. (JCR Q1)
• DCN 2023 VPFL: A verifiable privacy-preserving federated learning scheme for edge computing systems, Jiale Zhang, Yue Liu, Di Wu, Shuai Lou, Bing Chen, Shui Yu. (JCR Q1)
• COSE 2023 ADFL: Defending Backdoor Attacks in Federated Learning via Adversarial Distillation, Chengcheng Zhu, Jiale Zhang, Xiaobing Sun, Bing Chen, Weizhi Meng. (CCF-B)
• 通信学报 2023 基于 GAN 的联邦学习成员推理攻击与防御方法, 张佳乐, 朱诚诚, 孙小兵, 陈兵. (CCF-T1)
• JSS 2023 Combine sliced joint graph with graph neural networks for smart contract vulnerability detection, Jie Cai, Bin Li, Jiale Zhang, Xiaobing Sun, Bing Chen. (CCF-B)
• TII 2022 RobustFL: Robust federated learning against poisoning attacks in industrial IoT systems, Jiale Zhang, Chunpeng Ge, Feng Hu, Bing Chen. (JCR Q1)

👨‍🎓 Students

Graduate Students

• 2022.09-2025.06: Chengcheng Zhu (Pursuing a doctoral degree at Nanjing University)
• 2021.09-2024.06: Ye Li (Pursuing a doctoral degree at Nanjing University of Aeronautics and Astronautics)
• 2021.09-2024.06: Hao Sui (Pursuing a doctoral degree at Nanjing University of Aeronautics and Astronautics)

Postgraduate Students

• 2023.09-: Bosen Rao, Haoxuan Li, Wanquan Zhu
• 2024.09-: Kai Wang, Qi Chen, Wenhao Lu, Yanan Wang
• 2025.09-: Hongjie Xie, Rui Wang, Zhiqi Guo