Kai Zhou

87 papers A* 10A 3B 3Misc 6Journal 62Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Revisiting Adversarial Robustness of GNNs Against Structural Attacks: A Simple and Fast Approach.
IEEE Trans. Inf. Forensics Secur.
Xing Ai, Yulin Zhu, Yu Zheng, Gaolei Li, Jianhua Li, Kai Zhou
2026 J jnl
SemanAegis: Toward Credential-Aware Semantic Communication Against Knowledge Leakage Threats.
IEEE Trans. Mob. Comput.
Xiao Yang, Yuni Lai, Gaolei Li, Jun Wu, Kai Zhou, Mingzhe Chen
2025 J jnl
AuditVotes: A Framework Towards More Deployable Certified Robustness for Graph Neural Networks.
CoRR
Yuni Lai, Yulin Zhu, Yixuan Sun, Yulun Wu, Bin Xiao, Gaolei Li, Jianhua Li, Kai Zhou
2025 J jnl
Auth-Graph: GenAI-empowered attribute-masked backdoor for on-demand authorizable graph learning.
Inf. Fusion
Xiao Yang, Gaolei Li, Kai Zhou, Yuni Lai, Jianhua Li
2025 J jnl
Backdoor-Empowered Regulable Privilege Authorization for Edge-Level Graph Learning in 6G Vehicular Networks.
IEEE Trans. Consumer Electron.
Xiao Yang, Gaolei Li, Jun Wu, Kai Zhou, Jianhua Li, Wu Yang
2025 Misc conf
Crowdsourced Homophily Ties Based Graph Annotation Via Large Language Model.
ICASSP
Yu Bu, Yulin Zhu, Kai Zhou
2025 J jnl
Crowdsourced Homophily Ties Based Graph Annotation Via Large Language Model.
CoRR
Yu Bu, Yulin Zhu, Kai Zhou
2025 J jnl
From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection.
IEEE Trans. Neural Networks Learn. Syst.
Yulin Zhu, Yuni Lai, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jun Wu, Jian Ren, Kai Zhou
2025 A* conf
GraphProt: Certified Black-Box Shielding Against Backdoored Graph Models.
IJCAI
Xiao Yang, Yuni Lai, Kai Zhou, Gaolei Li, Jianhua Li, Hang Zhang
2025 Misc conf
HyperTTC: Hypergraph-Empowered Tactic-Specific Traffic Clustering for Atomized APT Detection.
ICNC
Wenhui Du, Yuanhang He, Gaolei Li, Xiao Yang, Jianhua Li, Ge Ren, Kai Zhou
2025 J jnl
Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images.
CoRR
Xiaoge Zhang, Tao Wang, Chao Yan, Fedaa Najdawi, Kai Zhou, Yuan Ma, Yiu-ming Cheung, Bradley A. Malin
2025 J jnl
Interpretable Defense Against Structural Adversarial Attacks on Android Malware Detection.
IEEE Trans. Inf. Forensics Secur.
Wenying Wei, Kaifa Zhao, Hao Zhou, Jianfeng Li, Shuohan Wu, Ming Fan, Xiapu Luo, Ting Wang, Kai Zhou, Ting Liu, Yuzhe Tang
2025 J jnl
Multi-Grained Temporal-Spatial Graph Learning for Stable Traffic Flow Forecasting.
CoRR
Zhenan Lin, Yuni Lai, Wai Lun Lo, Richard Tai Chiu Hsung, Harris Sik-Ho Tsang, Xiaoyu Xue, Kai Zhou, Yulin Zhu
2025 J jnl
Provably Robust Adaptation for Language-Empowered Foundation Models.
CoRR
Yuni Lai, Xiaoyu Xue, Linghui Shen, Yulun Wu, Gaolei Li, Song Guo, Kai Zhou, Bin Xiao
2025 J jnl
Robust Graph Contrastive Learning With Information Restoration.
IEEE Trans. Inf. Forensics Secur.
Yulin Zhu, Xing Ai, Yevgeniy Vorobeychik, Kai Zhou
2025 B conf
Simple yet Effective Gradient-Free Graph Convolutional Networks.
IJCNN
Yulin Zhu, Xing Ai, Qimai Li, Xiaoming Wu, Wai-Lun Lo, Kai Zhou
2025 J jnl
SparseDoctor: Towards Efficient Chat Doctor with Mixture of Experts Enhanced Large Language Models.
CoRR
Jianbin Zhang, Yulin Zhu, Wai Lun Lo, Richard Tai Chiu Hsung, Harris Sik-Ho Tsang, Kai Zhou
2025 J jnl
Stealthy Dual-Trigger Backdoors: Attacking Prompt Tuning in LM-Empowered Graph Foundation Models.
CoRR
Xiaoyu Xue, Yuni Lai, Chenxi Huang, Yulin Zhu, Gaolei Li, Xiaoge Zhang, Kai Zhou
2025 J jnl
Unleashing the power of indirect attacks against trust prediction via preferential path.
Knowl. Inf. Syst.
Yu Bu, Yulin Zhu, Longling Geng, Kai Zhou
2025 J jnl
VIRGOS: Secure Graph Convolutional Network on Vertically Split Data from Sparse Matrix Decomposition.
CoRR
Yu Zheng, Qizhi Zhang, Lichun Li, Kai Zhou, Shan Yin
2024 J jnl
A principled distance-aware uncertainty quantification approach for enhancing the reliability of physics-informed neural network.
Reliab. Eng. Syst. Saf.
Jinwu Li, Xiangyun Long, Xinyang Deng, Wen Jiang, Kai Zhou, Chao Jiang, Xiaoge Zhang
2024 J jnl
Adversarial analysis of similarity-based sign prediction.
Artif. Intell.
Michal Tomasz Godziszewski, Marcin Waniek, Yulin Zhu, Kai Zhou, Talal Rahwan, Tomasz P. Michalak
2024 J jnl
Adversarially Robust Signed Graph Contrastive Learning from Balance Augmentation.
CoRR
Jialong Zhou, Xing Ai, Yuni Lai, Kai Zhou
2024 Misc conf
Black-Box Attacks Against Signed Graph Analysis via Balance Poisoning.
ICNC
Jialong Zhou, Yuni Lai, Jian Ren, Kai Zhou
2024 A* conf
Collective Certified Robustness against Graph Injection Attacks.
ICML
Yuni Lai, Bailin Pan, Kaihuang Chen, Yancheng Yuan, Kai Zhou
2024 J jnl
Collective Certified Robustness against Graph Injection Attacks.
CoRR
Yuni Lai, Bailin Pan, Kaihuang Chen, Yancheng Yuan, Kai Zhou
2024 J jnl
Continuous optimization for construction of neural network-based prediction intervals.
Knowl. Based Syst.
Long Xue, Kai Zhou, Xiaoge Zhang
2024 Misc conf
Cost Aware Untargeted Poisoning Attack Against Graph Neural Networks.
ICASSP
Yuwei Han, Yuni Lai, Yulin Zhu, Kai Zhou
2024 J jnl
Coupled-Space Attacks Against Random-Walk-Based Anomaly Detection.
IEEE Trans. Inf. Forensics Secur.
Yuni Lai, Marcin Waniek, Liying Li, Jingwen Wu, Yulin Zhu, Tomasz P. Michalak, Talal Rahwan, Kai Zhou
2024 J jnl
Crowdsourcing Malware Family Annotation: Joint Class-Determined Tag Extraction and Weakly-Tagged Sample Inference.
IEEE Trans. Netw. Serv. Manag.
Yongkang Jiang, Gaolei Li, Shenghong Li, Ying Guo, Kai Zhou
2024 J jnl
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-Based Node Classification.
IEEE Trans. Knowl. Data Eng.
Yulin Zhu, Liang Tong, Gaolei Li, Xiapu Luo, Kai Zhou
2024 A* conf
Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach.
ICDE
Xing Ai, Jialong Zhou, Yulin Zhu, Gaolei Li, Tomasz P. Michalak, Xiapu Luo, Kai Zhou
2024 A* conf
Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks.
SP
Yuni Lai, Yulin Zhu, Bailin Pan, Kai Zhou
2024 A* conf
Poster: AuditVotes: A Framework towards Deployable Certified Robustness for GNNs.
CCS
Yuni Lai, Kai Zhou
2024 J jnl
Rethinking Improved Privacy-Utility Trade-off with Pre-existing Knowledge for DP Training.
CoRR
Yu Zheng, Wenchao Zhang, Yonggang Zhang, Wei Song, Kai Zhou, Bo Han
2024 J jnl
SFR-GNN: Simple and Fast Robust GNNs against Structural Attacks.
CoRR
Xing Ai, Guanyu Zhu, Yulin Zhu, Yu Zheng, Gaolei Li, Jianhua Li, Kai Zhou
2024 J jnl
Spikewhisper: Temporal Spike Backdoor Attacks on Federated Neuromorphic Learning over Low-power Devices.
CoRR
Hanqing Fu, Gaolei Li, Jun Wu, Jianhua Li, Xi Lin, Kai Zhou, Yuchen Liu
2024 J jnl
Toward Adversarially Robust Recommendation From Adaptive Fraudster Detection.
IEEE Trans. Inf. Forensics Secur.
Yuni Lai, Yulin Zhu, Wenqi Fan, Xiaoge Zhang, Kai Zhou
2024 J jnl
Toward Secrecy-Aware Attacks Against Trust Prediction in Signed Social Networks.
IEEE Trans. Inf. Forensics Secur.
Yulin Zhu, Tomasz P. Michalak, Xiapu Luo, Xiaoge Zhang, Kai Zhou
2024 Misc conf
Uncovering Strong Ties: A Study of Indirect Sybil Attack on Signed Social Network.
ICASSP
Yu Bu, Yulin Zhu, Longling Geng, Kai Zhou
2024 J jnl
Universally Robust Graph Neural Networks by Preserving Neighbor Similarity.
CoRR
Yulin Zhu, Yuni Lai, Xing Ai, Kai Zhou
2023 J jnl
Black-Box Attacks against Signed Graph Analysis via Balance Poisoning.
CoRR
Jialong Zhou, Yuni Lai, Jian Ren, Kai Zhou
2023 J jnl
Cost Aware Untargeted Poisoning Attack against Graph Neural Networks, .
CoRR
Yuwei Han, Yuni Lai, Yulin Zhu, Kai Zhou
2023 J jnl
Dual-Space Attacks against Random-Walk-based Anomaly Detection.
CoRR
Yuni Lai, Marcin Waniek, Yulin Zhu, Liying Li, Jingwen Wu, Tomasz P. Michalak, Talal Rahwan, Kai Zhou
2023 J jnl
Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach.
CoRR
Xing Ai, Jialong Zhou, Yulin Zhu, Gaolei Li, Tomasz P. Michalak, Xiapu Luo, Kai Zhou
2023 J jnl
Hiding From Centrality Measures: A Stackelberg Game Perspective.
IEEE Trans. Knowl. Data Eng.
Marcin Waniek, Jan Woznica, Kai Zhou, Yevgeniy Vorobeychik, Tomasz P. Michalak, Talal Rahwan
2023 J jnl
Homophily-Driven Sanitation View for Robust Graph Contrastive Learning.
CoRR
Yulin Zhu, Xing Ai, Yevgeniy Vorobeychik, Kai Zhou
2023 J jnl
Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks.
CoRR
Yuni Lai, Yulin Zhu, Bailin Pan, Kai Zhou
2023 J jnl
Simple yet Effective Gradient-Free Graph Convolutional Networks.
CoRR
Yulin Zhu, Xing Ai, Qimai Li, Xiao-Ming Wu, Kai Zhou
2023 J jnl
Toward Certified Robustness of Graph Neural Networks in Adversarial AIoT Environments.
IEEE Internet Things J.
Yuni Lai, Jialong Zhou, Xiaoge Zhang, Kai Zhou
2022 A* conf
BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection.
ICDE
Yulin Zhu, Yuni Lai, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jian Ren, Kai Zhou
2022 J jnl
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification.
CoRR
Yulin Zhu, Liang Tong, Kai Zhou
2022 J jnl
From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection.
CoRR
Yulin Zhu, Yuni Lai, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jun Wu, Jian Ren, Kai Zhou
2022 J jnl
How Fraudster Detection Contributes to Robust Recommendation.
CoRR
Yuni Lai, Kai Zhou
2022 J jnl
Towards Secrecy-Aware Attacks Against Trust Prediction in Signed Graphs.
CoRR
Yulin Zhu, Tomasz P. Michalak, Xiapu Luo, Kai Zhou
2021 A* conf
Attacking Similarity-Based Sign Prediction.
ICDM
Michal Tomasz Godziszewski, Tomasz P. Michalak, Marcin Waniek, Talal Rahwan, Kai Zhou, Yulin Zhu
2021 J jnl
BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection.
CoRR
Yulin Zhu, Yuni Lai, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jian Ren, Kai Zhou
2021 J jnl
CASO: Cost-Aware Secure Outsourcing of General Computational Problems.
IEEE Trans. Serv. Comput.
Kai Zhou, Jian Ren
2021 A conf
Strategic Evasion of Centrality Measures.
AAMAS
Marcin Waniek, Jan Woznica, Kai Zhou, Yevgeniy Vorobeychik, Talal Rahwan, Tomasz P. Michalak
2021 J jnl
Strategic Evasion of Centrality Measures.
CoRR
Marcin Waniek, Jan Woznica, Kai Zhou, Yevgeniy Vorobeychik, Talal Rahwan, Tomasz P. Michalak
2021 A* conf
Structural Attack against Graph Based Android Malware Detection.
CCS
Kaifa Zhao, Hao Zhou, Yulin Zhu, Xian Zhan, Kai Zhou, Jianfeng Li, Le Yu, Wei Yuan, Xiapu Luo
2020 — conf
Blocking Adversarial Influence in Social Networks.
GameSec
Feiran Jia, Kai Zhou, Charles A. Kamhoua, Yevgeniy Vorobeychik
2020 J jnl
Blocking Adversarial Influence in Social Networks.
CoRR
Feiran Jia, Kai Zhou, Charles A. Kamhoua, Yevgeniy Vorobeychik
2020 A* conf
Computing Equilibria in Binary Networked Public Goods Games.
AAAI
Sixie Yu, Kai Zhou, P. Jeffrey Brantingham, Yevgeniy Vorobeychik
2020 J jnl
P-MOD: Secure Privilege-Based Multilevel Organizational Data-Sharing in Cloud Computing.
IEEE Trans. Big Data
Ehab Zaghloul, Kai Zhou, Jian Ren
2020 A conf
Robust Collective Classification against Structural Attacks.
UAI
Kai Zhou, Yevgeniy Vorobeychik
2020 J jnl
Robust Collective Classification against Structural Attacks.
CoRR
Kai Zhou, Yevgeniy Vorobeychik
2019 A* conf
Adversarial Robustness of Similarity-Based Link Prediction.
ICDM
Kai Zhou, Tomasz P. Michalak, Yevgeniy Vorobeychik
2019 J jnl
Adversarial Robustness of Similarity-Based Link Prediction.
CoRR
Kai Zhou, Tomasz P. Michalak, Yevgeniy Vorobeychik
2019 A conf
Attacking Similarity-Based Link Prediction in Social Networks.
AAMAS
Kai Zhou, Tomasz P. Michalak, Marcin Waniek, Talal Rahwan, Yevgeniy Vorobeychik
2019 J jnl
Computing Equilibria in Binary Networked Public Goods Games.
CoRR
Sixie Yu, Kai Zhou, P. Jeffrey Brantingham, Yevgeniy Vorobeychik
2018 J jnl
Adversarial Link Prediction in Social Networks.
CoRR
Kai Zhou, Tomasz P. Michalak, Talal Rahwan, Marcin Waniek, Yevgeniy Vorobeychik
2018 J jnl
Attack Tolerance of Link Prediction Algorithms: How to Hide Your Relations in a Social Network.
CoRR
Marcin Waniek, Kai Zhou, Yevgeniy Vorobeychik, Esteban Moro, Tomasz P. Michalak, Talal Rahwan
2018 J jnl
P-MOD: Secure Privilege-Based Multilevel Organizational Data-Sharing in Cloud Computing.
CoRR
Ehab Zaghloul, Kai Zhou, Jian Ren
2018 J jnl
PassBio: Privacy-Preserving User-Centric Biometric Authentication.
IEEE Trans. Inf. Forensics Secur.
Kai Zhou, Jian Ren
2018 J jnl
Privacy Characterization and Quantification in Data Publishing.
IEEE Trans. Knowl. Data Eng.
M. H. Afifi, Kai Zhou, Jian Ren
2018 B conf
Security and Privacy Enhancement for Outsourced Biometric Identification.
GLOBECOM
Kai Zhou, Jian Ren, Tongtong Li
2018 J jnl
Security and Privacy Enhancement for Outsourced Biometric Identification.
CoRR
Kai Zhou, Jian Ren
2017 J jnl
ExpSOS: Secure and Verifiable Outsourcing of Exponentiation Operations for Mobile Cloud Computing.
IEEE Trans. Inf. Forensics Secur.
Kai Zhou, M. H. Afifi, Jian Ren
2017 J jnl
PassBio: Privacy-Preserving User-Centric Biometric Authentication.
CoRR
Kai Zhou, Jian Ren
2016 J jnl
CDMA System Design and Capacity Analysis Under Disguised Jamming.
IEEE Trans. Inf. Forensics Secur.
Tianlong Song, Kai Zhou, Tongtong Li
2016 J jnl
ExpSOS: Secure and Verifiable Outsourcing of Exponentiation Operations for Mobile Cloud Computing.
CoRR
Kai Zhou, M. H. Afifi, Jian Ren
2016 — conf
LinSOS: Secure outsourcing of linear computations based on affine mapping.
ICC
Kai Zhou, Jian Ren
2016 Misc conf
Robust CDMA receiver design under disguised jamming.
ICASSP
Kai Zhou, Tianlong Song, Jian Ren, Tongtong Li
2016 B conf
Secure Fine-Grained Access Control of Mobile User Data through Untrusted Cloud.
ICCCN
Kai Zhou, Jian Ren
2016 — conf
Secure outsourcing of scalar multiplication on elliptic curves.
ICC
Kai Zhou, Jian Ren
2015 J jnl
CASO: Cost-Aware Secure Outsourcing of General Computational Problems.
CoRR
Kai Zhou, Jian Ren