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ORCIDKai Zhou 0001
Person information
- affiliation: Hong Kong Polytechnic University, Department of Computing, Hong Kong
- affiliation (former): Washington University in Saint Louis, MO, USA
- affiliation (PhD 2018): Michigan State University, East Lansing, MI, USA
Other persons with the same name
- Kai Zhou — disambiguation page
- Kai Zhou 0002 — Zhejiang University of Technology, Hangzhou, China
- Kai Zhou 0003 — Vienna University of Technology, Automation and Control Institute, Austria
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2020 – today
- 2024
[j16]Michal Tomasz Godziszewski
, Marcin Waniek, Yulin Zhu, Kai Zhou, Talal Rahwan, Tomasz P. Michalak:
Adversarial analysis of similarity-based sign prediction. Artif. Intell. 335: 104173 (2024)- [j15]Long Xue, Kai Zhou, Xiaoge Zhang:
Continuous optimization for construction of neural network-based prediction intervals. Knowl. Based Syst. 293: 111669 (2024) - [j14]Jinwu Li, Xiangyun Long, Xinyang Deng, Wen Jiang, Kai Zhou, Chao Jiang, Xiaoge Zhang:
A principled distance-aware uncertainty quantification approach for enhancing the reliability of physics-informed neural network. Reliab. Eng. Syst. Saf. 245: 109963 (2024) - [j13]Yuni Lai, Yulin Zhu, Wenqi Fan, Xiaoge Zhang, Kai Zhou:
Toward Adversarially Robust Recommendation From Adaptive Fraudster Detection. IEEE Trans. Inf. Forensics Secur. 19: 907-919 (2024) - [j12]Yulin Zhu, Tomasz P. Michalak, Xiapu Luo, Xiaoge Zhang, Kai Zhou:
Toward Secrecy-Aware Attacks Against Trust Prediction in Signed Social Networks. IEEE Trans. Inf. Forensics Secur. 19: 3567-3580 (2024) - [j11]Yuni Lai, Marcin Waniek, Liying Li, Jingwen Wu, Yulin Zhu, Tomasz P. Michalak, Talal Rahwan, Kai Zhou:
Coupled-Space Attacks Against Random-Walk-Based Anomaly Detection. IEEE Trans. Inf. Forensics Secur. 19: 9315-9329 (2024) - [j10]Yulin Zhu, Liang Tong, Gaolei Li, Xiapu Luo, Kai Zhou:
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-Based Node Classification. IEEE Trans. Knowl. Data Eng. 36(6): 2476-2489 (2024) - [j9]Yongkang Jiang, Gaolei Li, Shenghong Li, Ying Guo, Kai Zhou:
Crowdsourcing Malware Family Annotation: Joint Class-Determined Tag Extraction and Weakly-Tagged Sample Inference. IEEE Trans. Netw. Serv. Manag. 21(4): 4763-4776 (2024) - [c21]Yuni Lai, Kai Zhou:
Poster: AuditVotes: A Framework towards Deployable Certified Robustness for GNNs. CCS 2024: 4949-4951 - [c20]Yu Bu, Yulin Zhu, Longling Geng, Kai Zhou:
Uncovering Strong Ties: A Study of Indirect Sybil Attack on Signed Social Network. ICASSP 2024: 4535-4539 - [c19]Yuwei Han, Yuni Lai, Yulin Zhu, Kai Zhou:
Cost Aware Untargeted Poisoning Attack Against Graph Neural Networks. ICASSP 2024: 4940-4944 - [c18]Jialong Zhou, Yuni Lai, Jian Ren, Kai Zhou:
Black-Box Attacks Against Signed Graph Analysis via Balance Poisoning. ICNC 2024: 530-535 - [c17]Xing Ai, Jialong Zhou, Yulin Zhu, Gaolei Li, Tomasz P. Michalak, Xiapu Luo, Kai Zhou:
Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach. ICDE 2024: 1213-1227 - [c16]Yuni Lai, Bailin Pan, Kaihuang Chen, Yancheng Yuan, Kai Zhou:
Collective Certified Robustness against Graph Injection Attacks. ICML 2024 - [c15]Yuni Lai, Yulin Zhu, Bailin Pan, Kai Zhou:
Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks. SP 2024: 2958-2976 - [i31]Yulin Zhu, Yuni Lai, Xing Ai, Kai Zhou:
Universally Robust Graph Neural Networks by Preserving Neighbor Similarity. CoRR abs/2401.09754 (2024) - [i30]Jialong Zhou, Xing Ai, Yuni Lai, Kai Zhou:
Adversarially Robust Signed Graph Contrastive Learning from Balance Augmentation. CoRR abs/2401.10590 (2024) - [i29]Yuni Lai, Bailin Pan, Kaihuang Chen, Yancheng Yuan, Kai Zhou:
Collective Certified Robustness against Graph Injection Attacks. CoRR abs/2403.01423 (2024) - [i28]Hanqing Fu, Gaolei Li, Jun Wu, Jianhua Li, Xi Lin, Kai Zhou, Yuchen Liu:
Spikewhisper: Temporal Spike Backdoor Attacks on Federated Neuromorphic Learning over Low-power Devices. CoRR abs/2403.18607 (2024) - [i27]Xing Ai, Guanyu Zhu, Yulin Zhu, Yu Zheng, Gaolei Li, Jianhua Li, Kai Zhou:
SFR-GNN: Simple and Fast Robust GNNs against Structural Attacks. CoRR abs/2408.16537 (2024) - [i26]Yu Zheng, Wenchao Zhang, Yonggang Zhang, Wei Song, Kai Zhou, Bo Han:
Rethinking Improved Privacy-Utility Trade-off with Pre-existing Knowledge for DP Training. CoRR abs/2409.03344 (2024) - [i25]Xiao Yang, Kai Zhou, Yuni Lai, Gaolei Li:
Defense-as-a-Service: Black-box Shielding against Backdoored Graph Models. CoRR abs/2410.04916 (2024) - 2023
- [j8]Yuni Lai, Jialong Zhou, Xiaoge Zhang, Kai Zhou:
Toward Certified Robustness of Graph Neural Networks in Adversarial AIoT Environments. IEEE Internet Things J. 10(15): 13920-13932 (2023) - [j7]Marcin Waniek, Jan Woznica, Kai Zhou, Yevgeniy Vorobeychik, Tomasz P. Michalak, Talal Rahwan:
Hiding From Centrality Measures: A Stackelberg Game Perspective. IEEE Trans. Knowl. Data Eng. 35(10): 10058-10071 (2023) - [i24]Yulin Zhu, Xing Ai, Qimai Li, Xiao-Ming Wu, Kai Zhou:
Simple yet Effective Gradient-Free Graph Convolutional Networks. CoRR abs/2302.00371 (2023) - [i23]Yulin Zhu, Xing Ai, Yevgeniy Vorobeychik, Kai Zhou:
Homophily-Driven Sanitation View for Robust Graph Contrastive Learning. CoRR abs/2307.12555 (2023) - [i22]Yuni Lai, Marcin Waniek, Yulin Zhu, Liying Li, Jingwen Wu, Tomasz P. Michalak, Talal Rahwan, Kai Zhou:
Dual-Space Attacks against Random-Walk-based Anomaly Detection. CoRR abs/2307.14387 (2023) - [i21]Xing Ai, Jialong Zhou, Yulin Zhu, Gaolei Li, Tomasz P. Michalak, Xiapu Luo, Kai Zhou:
Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach. CoRR abs/2308.01063 (2023) - [i20]Jialong Zhou, Yuni Lai, Jian Ren, Kai Zhou:
Black-Box Attacks against Signed Graph Analysis via Balance Poisoning. CoRR abs/2309.02396 (2023) - [i19]Yuni Lai, Yulin Zhu, Bailin Pan, Kai Zhou:
Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks. CoRR abs/2312.03979 (2023) - [i18]Yuwei Han, Yuni Lai, Yulin Zhu, Kai Zhou:
Cost Aware Untargeted Poisoning Attack against Graph Neural Networks, . CoRR abs/2312.07158 (2023) - 2022
- [c14]Yulin Zhu, Yuni Lai, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jian Ren, Kai Zhou:
BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection. ICDE 2022: 14-26 - [i17]Yulin Zhu, Yuni Lai, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jun Wu, Jian Ren, Kai Zhou:
From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection. CoRR abs/2206.08260 (2022) - [i16]Yulin Zhu, Tomasz P. Michalak, Xiapu Luo, Kai Zhou:
Towards Secrecy-Aware Attacks Against Trust Prediction in Signed Graphs. CoRR abs/2206.13104 (2022) - [i15]Yulin Zhu, Liang Tong, Kai Zhou:
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification. CoRR abs/2210.13815 (2022) - [i14]Yuni Lai, Kai Zhou:
How Fraudster Detection Contributes to Robust Recommendation. CoRR abs/2211.11534 (2022) - 2021
- [j6]Kai Zhou, Jian Ren:
CASO: Cost-Aware Secure Outsourcing of General Computational Problems. IEEE Trans. Serv. Comput. 14(2): 386-399 (2021) - [c13]Marcin Waniek, Jan Woznica, Kai Zhou, Yevgeniy Vorobeychik, Talal Rahwan, Tomasz P. Michalak:
Strategic Evasion of Centrality Measures. AAMAS 2021: 1389-1397 - [c12]Kaifa Zhao, Hao Zhou, Yulin Zhu, Xian Zhan, Kai Zhou, Jianfeng Li, Le Yu, Wei Yuan, Xiapu Luo:
Structural Attack against Graph Based Android Malware Detection. CCS 2021: 3218-3235 - [c11]Michal Tomasz Godziszewski, Tomasz P. Michalak, Marcin Waniek, Talal Rahwan, Kai Zhou, Yulin Zhu:
Attacking Similarity-Based Sign Prediction. ICDM 2021: 1072-1077 - [i13]Marcin Waniek, Jan Woznica, Kai Zhou, Yevgeniy Vorobeychik, Talal Rahwan, Tomasz P. Michalak:
Strategic Evasion of Centrality Measures. CoRR abs/2101.10648 (2021) - [i12]Yulin Zhu, Yuni Lai, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jian Ren, Kai Zhou:
BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection. CoRR abs/2106.09989 (2021) - 2020
- [j5]Ehab Zaghloul, Kai Zhou, Jian Ren:
P-MOD: Secure Privilege-Based Multilevel Organizational Data-Sharing in Cloud Computing. IEEE Trans. Big Data 6(4): 804-815 (2020) - [c10]Sixie Yu, Kai Zhou, P. Jeffrey Brantingham, Yevgeniy Vorobeychik:
Computing Equilibria in Binary Networked Public Goods Games. AAAI 2020: 2310-2317 - [c9]Feiran Jia, Kai Zhou, Charles A. Kamhoua, Yevgeniy Vorobeychik:
Blocking Adversarial Influence in Social Networks. GameSec 2020: 257-276 - [c8]Kai Zhou, Yevgeniy Vorobeychik:
Robust Collective Classification against Structural Attacks. UAI 2020: 250-259 - [i11]Kai Zhou, Yevgeniy Vorobeychik:
Robust Collective Classification against Structural Attacks. CoRR abs/2007.13073 (2020) - [i10]Feiran Jia, Kai Zhou, Charles A. Kamhoua, Yevgeniy Vorobeychik:
Blocking Adversarial Influence in Social Networks. CoRR abs/2011.01346 (2020)
2010 – 2019
- 2019
- [c7]Kai Zhou, Tomasz P. Michalak, Marcin Waniek, Talal Rahwan, Yevgeniy Vorobeychik:
Attacking Similarity-Based Link Prediction in Social Networks. AAMAS 2019: 305-313 - [c6]Kai Zhou, Tomasz P. Michalak, Yevgeniy Vorobeychik:
Adversarial Robustness of Similarity-Based Link Prediction. ICDM 2019: 926-935 - [i9]Kai Zhou, Tomasz P. Michalak, Yevgeniy Vorobeychik:
Adversarial Robustness of Similarity-Based Link Prediction. CoRR abs/1909.01432 (2019) - [i8]Sixie Yu, Kai Zhou, P. Jeffrey Brantingham, Yevgeniy Vorobeychik:
Computing Equilibria in Binary Networked Public Goods Games. CoRR abs/1911.05788 (2019) - 2018
- [j4]Kai Zhou, Jian Ren:
PassBio: Privacy-Preserving User-Centric Biometric Authentication. IEEE Trans. Inf. Forensics Secur. 13(12): 3050-3063 (2018) - [j3]M. H. Afifi, Kai Zhou, Jian Ren:
Privacy Characterization and Quantification in Data Publishing. IEEE Trans. Knowl. Data Eng. 30(9): 1756-1769 (2018) - [c5]Kai Zhou, Jian Ren, Tongtong Li:
Security and Privacy Enhancement for Outsourced Biometric Identification. GLOBECOM 2018: 1-5 - [i7]Ehab Zaghloul, Kai Zhou, Jian Ren:
P-MOD: Secure Privilege-Based Multilevel Organizational Data-Sharing in Cloud Computing. CoRR abs/1801.02685 (2018) - [i6]Marcin Waniek, Kai Zhou, Yevgeniy Vorobeychik, Esteban Moro, Tomasz P. Michalak, Talal Rahwan:
Attack Tolerance of Link Prediction Algorithms: How to Hide Your Relations in a Social Network. CoRR abs/1809.00152 (2018) - [i5]Kai Zhou, Jian Ren:
Security and Privacy Enhancement for Outsourced Biometric Identification. CoRR abs/1809.04219 (2018) - [i4]Kai Zhou, Tomasz P. Michalak, Talal Rahwan, Marcin Waniek, Yevgeniy Vorobeychik:
Adversarial Link Prediction in Social Networks. CoRR abs/1809.08368 (2018) - 2017
- [j2]Kai Zhou, M. H. Afifi, Jian Ren:
ExpSOS: Secure and Verifiable Outsourcing of Exponentiation Operations for Mobile Cloud Computing. IEEE Trans. Inf. Forensics Secur. 12(11): 2518-2531 (2017) - [i3]Kai Zhou, Jian Ren:
PassBio: Privacy-Preserving User-Centric Biometric Authentication. CoRR abs/1711.04902 (2017) - 2016
- [j1]Tianlong Song, Kai Zhou, Tongtong Li:
CDMA System Design and Capacity Analysis Under Disguised Jamming. IEEE Trans. Inf. Forensics Secur. 11(11): 2487-2498 (2016) - [c4]Kai Zhou, Tianlong Song, Jian Ren, Tongtong Li:
Robust CDMA receiver design under disguised jamming. ICASSP 2016: 2179-2183 - [c3]Kai Zhou, Jian Ren:
Secure outsourcing of scalar multiplication on elliptic curves. ICC 2016: 1-5 - [c2]Kai Zhou, Jian Ren:
LinSOS: Secure outsourcing of linear computations based on affine mapping. ICC 2016: 1-5 - [c1]Kai Zhou, Jian Ren:
Secure Fine-Grained Access Control of Mobile User Data through Untrusted Cloud. ICCCN 2016: 1-9 - [i2]Kai Zhou, M. H. Afifi, Jian Ren:
ExpSOS: Secure and Verifiable Outsourcing of Exponentiation Operations for Mobile Cloud Computing. CoRR abs/1602.08472 (2016) - 2015
- [i1]Kai Zhou, Jian Ren:
CASO: Cost-Aware Secure Outsourcing of General Computational Problems. CoRR abs/1511.02375 (2015)
Coauthor Index
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