| Trustworthy graph neural networks: Aspects, methods, and trends H Zhang, B Wu, X Yuan, S Pan, H Tong, J Pei Proceedings of the IEEE, 2024 | 128 | 2024 |
| Model extraction attacks on graph neural networks: Taxonomy and realisation B Wu, X Yang, S Pan, X Yuan Proceedings of the 2022 ACM on Asia Conference on Computer and …, 2022 | 81 | 2022 |
| Adapting membership inference attacks to GNN for graph classification: Approaches and implications B Wu, X Yang, S Pan, X Yuan 2021 IEEE International Conference on Data Mining (ICDM), 1421-1426, 2021 | 77 | 2021 |
| Leia: A lightweight cryptographic neural network inference system at the edge X Liu, B Wu, X Yuan, X Yi IEEE Transactions on Information Forensics and Security 17, 237-252, 2021 | 37 | 2021 |
| Projective ranking: A transferable evasion attack method on graph neural networks H Zhang, B Wu, X Yang, C Zhou, S Wang, X Yuan, S Pan Proceedings of the 30th ACM International Conference on Information …, 2021 | 35 | 2021 |
| Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks H Zhang, B Wu, S Wang, X Yang, M Xue, S Pan, X Yuan International Conference on Machine Learning, 41737-41752, 2023 | 23 | 2023 |
| GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks B Wu, H Zhang, X Yang, S Wang, M Xue, S Pan, X Yuan Network and Distributed System Security Symposium 2024, 2023 | 8 | 2023 |
| Securing Graph Neural Networks in MLaaS: A Comprehensive Realization of Query-based Integrity Verification B Wu, X Yuan, S Wang, Q Li, M Xue, S Pan IEEE Symposium on Security and Privacy 2024, 2023 | 5 | 2023 |
| Defeating misclassification attacks against transfer learning B Wu, S Wang, X Yuan, C Wang, C Rudolph, X Yang IEEE Transactions on Dependable and Secure Computing 20 (2), 886-901, 2022 | 4 | 2022 |
| Defiguard: A price manipulation detection service in defi using graph neural networks D Wang, B Wu, X Yuan, L Wu, Y Zhou, H Cui IEEE Transactions on Services Computing, 2024 | 3 | 2024 |
| Toward Evaluating the Robustness of Deep Learning Based Rain Removal Algorithm in Autonomous Driving Y Qin, J Hu, B Wu Proceedings of the 2023 Secure and Trustworthy Deep Learning Systems …, 2023 | 2 | 2023 |
| Towards Extracting Graph Neural Network Models via Prediction Queries (Student Abstract) B Wu, S Pan, X Yuan Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 15925 …, 2021 | 1 | 2021 |
| Gradient Transformation: Towards Efficient and Model-Agnostic Unlearning for Dynamic Graph Neural Networks H Zhang, B Wu, X Yang, X Yuan, C Zhang, S Pan arXiv preprint arXiv:2405.14407, 2024 | | 2024 |
| Dynamic Graph Unlearning: A General and Efficient Post-Processing Method via Gradient Transformation H Zhang, B Wu, X Yang, Y Xingliang, X Liu, X Yi THE WEB CONFERENCE 2025, 0 | | |
Xingliang YuanSchool of Computing and Information Systems, University of MelbourneOverená e-mailová adresa na: unimelb.edu.au
