| Structural attack against graph based android malware detection K Zhao, H Zhou, Y Zhu, X Zhan, K Zhou, J Li, L Yu, W Yuan, X Luo Proceedings of the 2021 ACM SIGSAC conference on computer and communications …, 2021 | 58 | 2021 |
| Binarizedattack: Structural poisoning attacks to graph-based anomaly detection Y Zhu, Y Lai, K Zhao, X Luo, M Yuan, J Ren, K Zhou 2022 IEEE 38th International Conference on Data Engineering (ICDE), 14-26, 2022 | 31 | 2022 |
| Attacking similarity-based sign prediction MT Godziszewski, TP Michalak, M Waniek, T Rahwan, K Zhou, Y Zhu 2021 IEEE International Conference on Data Mining (ICDM), 1072-1077, 2021 | 11 | 2021 |
| Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks Y Lai, Y Zhu, B Pan, K Zhou IEEE Symposium on Security and Privacy, 2023 | 5 | 2023 |
| Towards adversarially robust recommendation from adaptive fraudster detection Y Lai, Y Zhu, W Fan, X Zhang, K Zhou IEEE Transactions on Information Forensics and Security, 2023 | 5 | 2023 |
| FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification Y Zhu, L Tong, G Li, X Luo, K Zhou IEEE Transactions on Knowledge and Data Engineering, 2023 | 4 | 2023 |
| Towards secrecy-aware attacks against trust prediction in signed graphs Y Zhu, T Michalak, X Luo, K Zhou arXiv preprint arXiv:2206.13104, 2022 | 4 | 2022 |
| Towards Secrecy-Aware Attacks Against Trust Prediction in Signed Social Networks Y Zhu, T Michalak, X Luo, X Zhang, K Zhou IEEE Transactions on Information Forensics and Security, 2024 | 3 | 2024 |
| Universally Robust Graph Neural Networks by Preserving Neighbor Similarity Y Zhu, Y Lai, X Ai, K Zhou arXiv preprint arXiv:2401.09754, 2024 | 2 | 2024 |
| Adversarial analysis of similarity-based sign prediction MT Godziszewski, M Waniek, Y Zhu, K Zhou, T Rahwan, TP Michalak Artificial Intelligence 335, 104173, 2024 | 1 | 2024 |
| Coupled-Space Attacks Against Random-Walk-Based Anomaly Detection Y Lai, M Waniek, L Li, J Wu, Y Zhu, TP Michalak, T Rahwan, K Zhou IEEE Transactions on Information Forensics and Security, 2024 | 1 | 2024 |
| Cost Aware Untargeted Poisoning Attack Against Graph Neural Networks Y Han, Y Lai, Y Zhu, K Zhou ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 1 | 2024 |
| Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach X Ai, J Zhou, Y Zhu, G Li, TP Michalak, X Luo, K Zhou 2024 IEEE 40th International Conference on Data Engineering (ICDE), 2023 | 1 | 2023 |
| Homophily-Driven Sanitation View for Robust Graph Contrastive Learning Y Zhu, X Ai, Y Vorobeychik, K Zhou arXiv preprint arXiv:2307.12555, 2023 | 1 | 2023 |
| SFR-GNN: Simple and Fast Robust GNNs against Structural Attacks X Ai, G Zhu, Y Zhu, Y Zheng, G Li, J Li, K Zhou arXiv preprint arXiv:2408.16537, 2024 | | 2024 |
| From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection Y Zhu, Y Lai, K Zhao, X Luo, M Yuan, J Wu, J Ren, K Zhou IEEE Transactions on Neural Networks and Learning Systems, 2024 | | 2024 |
| Uncovering Strong Ties: A Study of Indirect Sybil Attack on Signed Social Network Y Bu, Y Zhu, L Geng, K Zhou ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Unleashing the Power of Indirect Attacks against Trust Prediction via Preferential Path Y Bu, Y Zhu, L Geng, K Zhou Knowledge and Information Systems, 2023 | | 2023 |
| Simple yet Effective Gradient-Free Graph Convolutional Networks Y Zhu, X Ai, Q Li, XM Wu, K Zhou arXiv preprint arXiv:2302.00371, 2023 | | 2023 |
| Adversarial Robustness of Graph-based Anomaly Detection Y Zhu, Y Lai, K Zhao, X Luo, M Yuan, J Ren, K Zhou arXiv e-prints, arXiv: 2206.08260, 2022 | | 2022 |
Kai ZhouThe Hong Kong Polytechnic UniversityEmail verificata su polyu.edu.hk