| Vertically federated graph neural network for privacy-preserving node classification C Chen, J Zhou, L Zheng, H Wu, L Lyu, J Wu, B Wu, Z Liu, L Wang, ... arXiv preprint arXiv:2005.11903, 2020 | 93 | 2020 |
| When homomorphic encryption marries secret sharing: Secure large-scale sparse logistic regression and applications in risk control C Chen, J Zhou, L Wang, X Wu, W Fang, J Tan, L Wang, AX Liu, H Wang, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 69 | 2021 |
| Practical privacy preserving POI recommendation C Chen, J Zhou, B Wu, W Fang, L Wang, Y Qi, X Zheng ACM Transactions on Intelligent Systems and Technology (TIST) 11 (5), 1-20, 2020 | 68 | 2020 |
| ASFGNN: Automated separated-federated graph neural network L Zheng, J Zhou, C Chen, B Wu, L Wang, B Zhang Peer-to-Peer Networking and Applications 14 (3), 1692-1704, 2021 | 67 | 2021 |
| Backdoor defense with machine unlearning Y Liu, M Fan, C Chen, X Liu, Z Ma, L Wang, J Ma IEEE INFOCOM 2022-IEEE conference on computer communications, 280-289, 2022 | 60 | 2022 |
| Differential private knowledge transfer for privacy-preserving cross-domain recommendation C Chen, H Wu, J Su, L Lyu, X Zheng, L Wang Proceedings of the ACM Web Conference 2022, 1455-1465, 2022 | 53 | 2022 |
| Large-scale secure XGB for vertical federated learning W Fang, D Zhao, J Tan, C Chen, C Yu, L Wang, L Wang, J Zhou, B Zhang Proceedings of the 30th ACM International Conference on Information …, 2021 | 44 | 2021 |
| Secure social recommendation based on secret sharing C Chen, L Li, B Wu, C Hong, L Wang, J Zhou arXiv preprint arXiv:2002.02088, 2020 | 41 | 2020 |
| Survey and open problems in privacy-preserving knowledge graph: merging, query, representation, completion, and applications C Chen, F Zheng, J Cui, Y Cao, G Liu, J Wu, J Zhou International Journal of Machine Learning and Cybernetics, 1-20, 2024 | 26 | 2024 |
| Characterizing membership privacy in stochastic gradient langevin dynamics B Wu, C Chen, S Zhao, C Chen, Y Yao, G Sun, L Wang, X Zhang, J Zhou Proceedings of the AAAI conference on artificial intelligence 34 (04), 6372-6379, 2020 | 25 | 2020 |
| Industrial scale privacy preserving deep neural network L Zheng, C Chen, Y Liu, B Wu, X Wu, L Wang, L Wang, J Zhou, S Yang arXiv preprint arXiv:2003.05198, 2020 | 21 | 2020 |
| A comprehensive analysis of information leakage in deep transfer learning C Chen, B Wu, M Qiu, L Wang, J Zhou arXiv preprint arXiv:2009.01989, 2020 | 18 | 2020 |
| A hybrid-domain framework for secure gradient tree boosting W Fang, C Chen, J Tan, C Yu, Y Lu, L Wang, L Wang, J Zhou, AX Liu arXiv preprint arXiv:2005.08479, 2020 | 18 | 2020 |
| Video-audio domain generalization via confounder disentanglement S Zhang, X Feng, W Fan, W Fang, F Feng, W Ji, S Li, L Wang, S Zhao, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 15322 …, 2023 | 7 | 2023 |
| Learning to generalize in heterogeneous federated networks C Chen, T Ye, L Wang, M Gao Proceedings of the 31st ACM International Conference on Information …, 2022 | 5 | 2022 |
| Toward scalable and privacy-preserving deep neural network via algorithmic-cryptographic co-design J Zhou, L Zheng, C Chen, Y Wang, X Zheng, B Wu, C Chen, L Wang, ... ACM Transactions on Intelligent Systems and Technology (TIST) 13 (4), 1-21, 2022 | 5 | 2022 |
| Nebula: a scalable privacy-preserving machine learning system in ant financial C Chen, B Wu, L Wang, C Chen, J Tan, L Wang, J Zhou, B Zhang Proceedings of the 29th ACM International Conference on Information …, 2020 | 4 | 2020 |
| Secret sharing based secure regressions with applications C Chen, L Li, W Fang, J Zhou, L Wang, L Wang, S Yang, A Liu, H Wang arXiv preprint arXiv:2004.04898, 2020 | 4 | 2020 |
| Automatic knowledge fusion in transferrable networks for semantic text matching C Chen, YL Zhang, M Qiu, B Wu, L Wang, L Li, J Zhou Companion Proceedings of the Web Conference 2020, 73-74, 2020 | 1 | 2020 |
