Robust CDMA receiver design under disguised jamming. - Kai Zhou 001; Tianlong Song; Jian Ren 001; Tongtong Li (ICASSP, 2016)

Secure outsourcing of scalar multiplication on elliptic curves. - Kai Zhou 001; Jian Ren 001 (ICC, 2016)

LinSOS: Secure outsourcing of linear computations based on affine mapping. - Kai Zhou 001; Jian Ren 001 (ICC, 2016)

Secure Fine-Grained Access Control of Mobile User Data through Untrusted Cloud. - Kai Zhou 001; Jian Ren 001 (ICCCN, 2016)

CDMA System Design and Capacity Analysis Under Disguised Jamming. - Tianlong Song; Kai Zhou 001; Tongtong Li (IEEE Trans. Inf. Forensics Secur., 2016)

ExpSOS: Secure and Verifiable Outsourcing of Exponentiation Operations for Mobile Cloud Computing. - Kai Zhou 001; M. H. Afifi; Jian Ren 001 (IEEE Trans. Inf. Forensics Secur., 2017)

Security and Privacy Enhancement for Outsourced Biometric Identification. - Kai Zhou 001; Jian Ren 001; Tongtong Li (GLOBECOM, 2018)

Attack Tolerance of Link Prediction Algorithms: How to Hide Your Relations in a Social Network. - Marcin Waniek; Kai Zhou 001; Yevgeniy Vorobeychik; Esteban Moro; Tomasz P. Michalak; Talal Rahwan (CoRR, 2018)

Security and Privacy Enhancement for Outsourced Biometric Identification. - Kai Zhou 001; Jian Ren 001 (CoRR, 2018)

Adversarial Link Prediction in Social Networks. - Kai Zhou 001; Tomasz P. Michalak; Talal Rahwan; Marcin Waniek; Yevgeniy Vorobeychik (CoRR, 2018)

PassBio: Privacy-Preserving User-Centric Biometric Authentication. - Kai Zhou 001; Jian Ren 001 (IEEE Trans. Inf. Forensics Secur., 2018)

Privacy Characterization and Quantification in Data Publishing. - M. H. Afifi; Kai Zhou 001; Jian Ren 001 (IEEE Trans. Knowl. Data Eng., 2018)

Attacking Similarity-Based Link Prediction in Social Networks. - Kai Zhou 001; Tomasz P. Michalak; Marcin Waniek; Talal Rahwan; Yevgeniy Vorobeychik (AAMAS, 2019)

Adversarial Robustness of Similarity-Based Link Prediction. - Kai Zhou 001; Tomasz P. Michalak; Yevgeniy Vorobeychik (ICDM, 2019)

Computing Equilibria in Binary Networked Public Goods Games. - Sixie Yu; Kai Zhou 001; P. Jeffrey Brantingham; Yevgeniy Vorobeychik (AAAI, 2020)

Blocking Adversarial Influence in Social Networks. - Feiran Jia; Kai Zhou 001; Charles A. Kamhoua; Yevgeniy Vorobeychik (GameSec, 2020)

Robust Collective Classification against Structural Attacks. - Kai Zhou 001; Yevgeniy Vorobeychik (UAI, 2020)

P-MOD: Secure Privilege-Based Multilevel Organizational Data-Sharing in Cloud Computing. - Ehab Zaghloul; Kai Zhou 001; Jian Ren 001 (IEEE Trans. Big Data, 2020)

Strategic Evasion of Centrality Measures. - Marcin Waniek; Jan Woznica; Kai Zhou 001; Yevgeniy Vorobeychik; Talal Rahwan; Tomasz P. Michalak (AAMAS, 2021)

Structural Attack against Graph Based Android Malware Detection. - Kaifa Zhao; Hao Zhou 009; Yulin Zhu; Xian Zhan; Kai Zhou 001; Jianfeng Li 006; Le Yu 002; Wei Yuan 001; Xiapu Luo (CCS, 2021)

Attacking Similarity-Based Sign Prediction. - Michal Tomasz Godziszewski; Tomasz P. Michalak; Marcin Waniek; Talal Rahwan; Kai Zhou 001; Yulin Zhu (ICDM, 2021)

CASO: Cost-Aware Secure Outsourcing of General Computational Problems. - Kai Zhou 001; Jian Ren 001 (IEEE Trans. Serv. Comput., 2021)

BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection. - Yulin Zhu; Yuni Lai; Kaifa Zhao; Xiapu Luo; Mingquan Yuan; Jian Ren 001; Kai Zhou 001 (ICDE, 2022)

Towards Secrecy-Aware Attacks Against Trust Prediction in Signed Graphs. - Yulin Zhu; Tomasz P. Michalak; Xiapu Luo; Kai Zhou 001 (CoRR, 2022)

FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification. - Yulin Zhu; Liang Tong; Kai Zhou 001 (CoRR, 2022)

How Fraudster Detection Contributes to Robust Recommendation. - Yuni Lai; Kai Zhou 001 (CoRR, 2022)

Simple yet Effective Gradient-Free Graph Convolutional Networks. - Yulin Zhu; Xing Ai; Qimai Li; Xiao-Ming Wu 003; Kai Zhou 001 (CoRR, 2023)

Homophily-Driven Sanitation View for Robust Graph Contrastive Learning. - Yulin Zhu; Xing Ai; Yevgeniy Vorobeychik; Kai Zhou 001 (CoRR, 2023)

Dual-Space Attacks against Random-Walk-based Anomaly Detection. - Yuni Lai; Marcin Waniek; Yulin Zhu; Liying Li; Jingwen Wu; Tomasz P. Michalak; Talal Rahwan; Kai Zhou 001 (CoRR, 2023)

Toward Certified Robustness of Graph Neural Networks in Adversarial AIoT Environments. - Yuni Lai; Jialong Zhou; Xiaoge Zhang 001; Kai Zhou 001 (IEEE Internet Things J., 2023)

Hiding From Centrality Measures: A Stackelberg Game Perspective. - Marcin Waniek; Jan Woznica; Kai Zhou 001; Yevgeniy Vorobeychik; Tomasz P. Michalak; Talal Rahwan (IEEE Trans. Knowl. Data Eng., 2023)

Poster: AuditVotes: A Framework towards Deployable Certified Robustness for GNNs. - Yuni Lai; Kai Zhou 001 (CCS, 2024)

Uncovering Strong Ties: A Study of Indirect Sybil Attack on Signed Social Network. - Yu Bu; Yulin Zhu; Longling Geng; Kai Zhou 001 (ICASSP, 2024)

Cost Aware Untargeted Poisoning Attack Against Graph Neural Networks. - Yuwei Han; Yuni Lai; Yulin Zhu; Kai Zhou 001 (ICASSP, 2024)

Black-Box Attacks Against Signed Graph Analysis via Balance Poisoning. - Jialong Zhou; Yuni Lai; Jian Ren 001; Kai Zhou 001 (ICNC, 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 001 (ICDE, 2024)

Collective Certified Robustness against Graph Injection Attacks. - Yuni Lai; Bailin Pan; Kaihuang Chen; Yancheng Yuan; Kai Zhou 001 (ICML, 2024)

Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks. - Yuni Lai; Yulin Zhu; Bailin Pan; Kai Zhou 001 (SP, 2024)

Adversarial analysis of similarity-based sign prediction. - Michal Tomasz Godziszewski; Marcin Waniek; Yulin Zhu; Kai Zhou 001; Talal Rahwan; Tomasz P. Michalak (Artif. Intell., 2024)

Universally Robust Graph Neural Networks by Preserving Neighbor Similarity. - Yulin Zhu; Yuni Lai; Xing Ai; Kai Zhou 001 (CoRR, 2024)

Adversarially Robust Signed Graph Contrastive Learning from Balance Augmentation. - Jialong Zhou; Xing Ai; Yuni Lai; Kai Zhou 001 (CoRR, 2024)

Spikewhisper: Temporal Spike Backdoor Attacks on Federated Neuromorphic Learning over Low-power Devices. - Hanqing Fu; Gaolei Li; Jun Wu 001; Jianhua Li 001; Xi Lin 003; Kai Zhou 001; Yuchen Liu 001 (CoRR, 2024)

SFR-GNN: Simple and Fast Robust GNNs against Structural Attacks. - Xing Ai; Guanyu Zhu; Yulin Zhu; Yu Zheng 021; Gaolei Li; Jianhua Li 001; Kai Zhou 001 (CoRR, 2024)

Rethinking Improved Privacy-Utility Trade-off with Pre-existing Knowledge for DP Training. - Yu Zheng 021; Wenchao Zhang 001; Yonggang Zhang 003; Wei Song; Kai Zhou 001; Bo Han 003 (CoRR, 2024)

Continuous optimization for construction of neural network-based prediction intervals. - Long Xue; Kai Zhou 001; Xiaoge Zhang 001 (Knowl. Based Syst., 2024)

A principled distance-aware uncertainty quantification approach for enhancing the reliability of physics-informed neural network. - Jinwu Li; Xiangyun Long; Xinyang Deng; Wen Jiang 002; Kai Zhou 001; Chao Jiang; Xiaoge Zhang 001 (Reliab. Eng. Syst. Saf., 2024)

Coupled-Space Attacks Against Random-Walk-Based Anomaly Detection. - Yuni Lai; Marcin Waniek; Liying Li; Jingwen Wu; Yulin Zhu; Tomasz P. Michalak; Talal Rahwan; Kai Zhou 001 (IEEE Trans. Inf. Forensics Secur., 2024)

Toward Adversarially Robust Recommendation From Adaptive Fraudster Detection. - Yuni Lai; Yulin Zhu; Wenqi Fan; Xiaoge Zhang 001; Kai Zhou 001 (IEEE Trans. Inf. Forensics Secur., 2024)

Toward Secrecy-Aware Attacks Against Trust Prediction in Signed Social Networks. - Yulin Zhu; Tomasz P. Michalak; Xiapu Luo; Xiaoge Zhang 001; Kai Zhou 001 (IEEE Trans. Inf. Forensics Secur., 2024)

FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-Based Node Classification. - Yulin Zhu; Liang Tong; Gaolei Li; Xiapu Luo; Kai Zhou 001 (IEEE Trans. Knowl. Data Eng., 2024)

Crowdsourcing Malware Family Annotation: Joint Class-Determined Tag Extraction and Weakly-Tagged Sample Inference. - Yongkang Jiang; Gaolei Li; Shenghong Li 001; Ying Guo 004; Kai Zhou 001 (IEEE Trans. Netw. Serv. Manag., 2024)

Crowdsourced Homophily Ties Based Graph Annotation Via Large Language Model. - Yu Bu; Yulin Zhu; Kai Zhou 001 (ICASSP, 2025)

Auth-Graph: GenAI-empowered attribute-masked backdoor for on-demand authorizable graph learning. - Xiao Yang; Gaolei Li; Kai Zhou 001; Yuni Lai; Jianhua Li 001 (Inf. Fusion, 2025)

Robust Graph Contrastive Learning With Information Restoration. - Yulin Zhu; Xing Ai; Yevgeniy Vorobeychik; Kai Zhou 001 (IEEE Trans. Inf. Forensics Secur., 2025)

Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images. - Xiaoge Zhang 001; Tao Wang; Chao Yan 004; Fedaa Najdawi; Kai Zhou 001; Yuan Ma; Yiu-ming Cheung; Bradley A. Malin (CoRR, 2025)

VIRGOS: Secure Graph Convolutional Network on Vertically Split Data from Sparse Matrix Decomposition. - Yu Zheng 021; Qizhi Zhang; Lichun Li; Kai Zhou 001; Shan Yin (CoRR, 2025)

From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection. - Yulin Zhu; Yuni Lai; Kaifa Zhao; Xiapu Luo; Mingquan Yuan; Jun Wu 001; Jian Ren 001; Kai Zhou 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Unleashing the power of indirect attacks against trust prediction via preferential path. - Yu Bu; Yulin Zhu; Longling Geng; Kai Zhou 001 (Knowl. Inf. Syst., 2025)

Backdoor-Empowered Regulable Privilege Authorization for Edge-Level Graph Learning in 6G Vehicular Networks. - Xiao Yang; Gaolei Li; Jun Wu 001; Kai Zhou 001; Jianhua Li 001; Wu Yang 001 (IEEE Trans. Consumer Electron., 2025)