Navigation: [Home] [Publications] Selected Publicationsauthor names marked with * are students or RAs under my supervision.Pre-print Manuscripts: Provably Robust Adaptation for Language-Empowered Foundation Models Yuni Lai*, Xiaoyu Xue*, Linghui Shen, Yulun Wu, Gaolei Li, Song Guo, Kai Zhou, Bin Xiao arXiv, 2025 SparseDoctor: Towards Efficient Chat Doctor with Mixture of Experts Enhanced Large Language Models Jianbin Zhang, Yulin Zhu, Wai Lun Lo, Richard Tai-Chiu Hsung, Harris Sik-Ho Tsang, Kai Zhou arXiv, 2025 SEASONED: Semantic-Enhanced Self-Counterfactual Explainable Detection of Adversarial Exploiter Contracts Xing Ai*, Shudan Lin, Zecheng Li, Kai Zhou, Bixin Li, Bin Xiao arXiv, 2025 AuditVotes: A Framework Towards More Deployable Certified Robustness for Graph Neural Networks Yuni Lai*, Yulin Zhu, Yixuan Sun*, Yulun Wu*, Bin Xiao, Gaolei Li, Jianhua Li, Kai Zhou arXiv, 2025 GraphProt: Certified Black-box Shielding against Backdoored Graph Models Xiao Yang*, Yuni Lai*, Kai Zhou, Gaolei Li, Jianhua Li, and Hang Zhang The 34th International Joint Conference on Artificial Intelligence (IJCAI), Montreal, Canada, Aug. 16-22, 2025 Crowdsourced Homophily Ties Based Graph Annotation Via Large Language Model Yu Bu*, Yulin Zhu*, and Kai Zhou IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2025 HyperTTC: Hypergraph-Empowered Tactic-Specific Traffic Clustering for Atomized APT Detection Wenhui Du, Yuanhang He, Gaolei Li, Xiao Yang*, Jianhua Li, Ge Ren, and Kai Zhou 2025 International Conference on Computing, Networking and Communications (ICNC), pp. 318-322. IEEE, 2025 Best Paper Award Robust Graph Contrastive Learning with Information Restoration Yulin Zhu*, Xing Ai*, Yevgeniy Vorobeychik, and Kai Zhou IEEE Transactions on Information Forensics and Security (TIFS), 2025 SOPA: Sensitivity-Oriented Poisoning Attack for Self-Supervised Graph Embedding Model via Bilevel Evolutionary Optimization Shen You*, Kai Zhou, Zhongshen Li, Kay Chen Tan, Qiuzhen Lin, and Xiangtao Li IEEE Transactions on Evolutionary Computation, 2025 Exploring Graph Neural Backdoors in Vehicular Networks: Fundamentals, Methodologies, Applications, and Future Perspectives Xiao Yang*, Gaolei Li, Kai Zhou, Jianhua Li, Xingqin Lin, and Yuchen Liu IEEE Open Journal of Vehicular Technology (2025), Volume:6, pp: 1051 - 1071 Featured Article in July 2025 Coupled-Space Attacks Against Random-Walk-Based Anomaly Detection Yuni Lai*, Marcin Waniek, Liying Li*, Jingwen Wu*, Yulin Zhu*, Tomasz P. Michalak, Talal Rahwan, and Kai Zhou IEEE Transactions on Information Forensics and Security (TIFS), 2024 AuditVotes: a Framework towards Deployable Certified Robustness for GNNs Yuni Lai*, Kai Zhou The ACM Conference on Computer and Communications Security (CCS), Poster, 2024 Adversarial Analysis of Similarity-Based Sign Prediction Michal Tomasz Godziszewski, Marcin Waniek, Yulin Zhu*, Kai Zhou, Talal Rahwan, Tomasz P Michalak Artificial Intelligence, Elsevier, 2024 From Bi-level to One-level: Structural Poisoning Attacks against Graph-based Anomaly Detection Yulin Zhu*, Yuni Lai*, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jun Wu, Jian Ren, Kai Zhou IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024 Collective Certified Robustness against Graph Injection Attacks Yuni Lai*, Bailin Pan*, Kaihuang Chen, Yancheng Yuan, Kai Zhou 41st International Conference on Machine Learning (ICML), 2024 Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks Yuni Lai*, Yulin Zhu*, Bailin Pan*, Kai Zhou IEEE Symposium on Security and Privacy (IEEE S&P), 2024 Towards Secrecy-Aware Attacks Against Trust Prediction in Signed Social Networks Yulin Zhu*, Tomasz P Michalak, Xiapu Luo, Xiaoge Zhang, Kai Zhou IEEE Transactions on Information Forensics and Security (TIFS), 2024 Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach Xing Ai*, Jialong Zhou*, Yulin Zhu*, Gaolei Li, Tomasz P. Michalak, Xiapu Luo, Kai Zhou 40th International Conference on Data Engineering (ICDE), 2024 Towards Adversarially Robust Recommendation from Adaptive Fraudster Detection Yuni Lai*, Yulin Zhu*, Wenqi Fan, Xiaoge Zhang, Kai Zhou IEEE Transactions on Information Forensics and Security (TIFS), 2023 FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification Yulin Zhu*, Liang Tong, Gaolei Li, Xiapu Luo, Kai Zhou IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 Hiding from centrality measures: A Stackelberg game perspective Marcin Waniek, Jan Woznica, Kai Zhou, Yevgeniy Vorobeychik, Tomasz Michalak, Talal Rahwan IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection Yulin Zhu*, Yuni Lai*, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jian Ren, and Kai Zhou 38th International Conference on Data Engineering (ICDE), 2022 Attacking Similarity-Based Sign Prediction Michal T. Godziszewski, Marcin Waniek, Yulin Zhu*, Kai Zhou, Talal Rahwan, and Tomasz P. Michalak 21st IEEE International Conference on Data Mining Security (ICDM), 2021 Structural Attack against Graph Based Android Malware Detection Kaifa Zhao, Hao Zhou, Yulin Zhu*, Xian Zhan, Kai Zhou, Jianfeng Li, Le Yu, Wei Yuan, and Xiapu Luo ACM SIGSAC Conference on Computer and Communications Security (CCS), 2021 Strategic Evasion of Centrality Measures Marcin Waniek, Jan Woznica, Kai Zhou, Yevgeniy Vorobeychik, Talal Rahwan, and Tomasz P. Michalak International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2021 CASO: Cost-Aware Secure Outsourcing of General Computational Problems Kai Zhou, and Jian Ren IEEE Transactions on Services Computing, 2021 Blocking Adversarial Influence in Social Networks Feiran Jia, Kai Zhou, Charles Kamhoua and Yevgeniy Vorobeychik 11th Conference on Decision and Game Theory for Security (GameSec), 2020 Robust Collective Classification against Structural Attacks Kai Zhou, Yevgeniy Vorobeychik 36th Conference on Uncertainty in Artificial Intelligence (UAI), 2020 Computing Equilibria in Binary Networked Public Goods Games Sixie Yu#, Kai Zhou#, P. Jeffrey Brantingham, and Yevgeniy Vorobeychik (# equal contribution) 34th AAAI Conference on Artificial Intelligence(AAAI), 2020 Adversarial Robustness of Similarity-Based Link Prediction Kai Zhou, Tomasz P. Michalak , and Yevgeniy Vorobeychik 19th IEEE International Conference on Data Mining (ICDM), 2019 One of Best Papers at ICDM'19 Attacking Similarity-Based Link Prediction in Social Networks Kai Zhou, Tomasz P. Michalak, Marcin Waniek, Talal Rahwan, and Yevgeniy Vorobeychik International Conference on Autonomous Agents and Multiagent Systems(AAMAS), 2019 |
