Binchi Zhang
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TwiBot-22: Towards Graph-Based Twitter Bot Detection
S Feng, Z Tan, H Wan, N Wang, Z Chen, B Zhang, Q Zheng, W Zhang, ...
Advances in Neural Information Processing Systems 35, 35254-35269, 2022
Federated graph machine learning: A survey of concepts, techniques, and applications
X Fu, B Zhang, Y Dong, C Chen, J Li
ACM SIGKDD Explorations Newsletter 24 (2), 32-47, 2022
RELIANT: Fair Knowledge Distillation for Graph Neural Networks
Y Dong, B Zhang, Y Yuan, N Zou, Q Wang, J Li
Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023
Adversarial Attacks on Fairness of Graph Neural Networks
B Zhang, Y Dong, C Chen, Y Zhu, M Luo, J Li
International Conference on Learning Representations (ICLR), 2024
AHEAD: A triple attention based heterogeneous graph anomaly detection approach
S Yang, B Zhang, S Feng, Z Tan, Q Zheng, J Zhou, M Luo
Chinese Intelligent Automation Conference, 542-552, 2023
Ppsgcn: A privacy-preserving subgraph sampling based distributed gcn training method
B Zhang, M Luo, S Feng, Z Liu, J Zhou, Q Zheng
arXiv preprint arXiv:2110.12906, 2021
ELEGANT: Certified Defense on the Fairness of Graph Neural Networks
Y Dong, B Zhang, H Tong, J Li
arXiv preprint arXiv:2311.02757, 2023
Safety in Graph Machine Learning: Threats and Safeguards
S Wang, Y Dong, B Zhang, Z Chen, X Fu, Y He, C Shen, C Zhang, ...
arXiv preprint arXiv:2405.11034, 2024
Towards Certified Unlearning for Deep Neural Networks
B Zhang, Y Dong, T Wang, J Li
Forty-first International Conference on Machine Learning, 0
Verification of Machine Unlearning is Fragile
B Zhang, Z Chen, C Shen, J Li
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