Artikel mit Open-Access-Mandaten - Bang WUWeitere Informationen
Verfügbar: 7
Trustworthy graph neural networks: Aspects, methods and trends
H Zhang, B Wu, X Yuan, S Pan, H Tong, J Pei
arXiv preprint arXiv:2205.07424, 2022
Mandate: US National Science Foundation, Australian Research Council
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
Mandate: Australian Research Council
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
Mandate: Australian Research Council
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
Mandate: National Natural Science Foundation of China
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
Mandate: Australian Research Council
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
Mandate: US National Science Foundation, Australian Research Council, National …
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
Mandate: Australian Research Council, National Natural Science Foundation of China …
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