Towards lightweight and efficient distributed intrusion detection framework S Yuan, H Li, R Zhang, M Hao, Y Li, R Lu 2021 IEEE Global Communications Conference (GLOBECOM), 1-6, 2021 | 9 | 2021 |
CryptoFE: Practical and privacy-preserving federated learning via functional encryption X Qian, H Li, M Hao, S Yuan, X Zhang, S Guo GLOBECOM 2022-2022 IEEE Global Communications Conference, 2999-3004, 2022 | 5 | 2022 |
One radish, One hole: Specific adversarial training for enhancing neural network’s robustness Y Zhang, H Li, G Xu, S Yuan, X Huang Peer-to-peer Networking and Applications 14 (4), 2262-2274, 2021 | 3 | 2021 |
Efficient and Privacy-preserving Outsourcing of Gradient Boosting Decision Tree Inference S Yuan, H Li, X Qian, M Hao, Y Zhai, G Xu IEEE Transactions on Services Computing, 2024 | 1 | 2024 |
OnePath: Efficient and Privacy-Preserving Decision Tree Inference in the Cloud S Yuan, H Li, X Qian, W Jiang, G Xu arXiv preprint arXiv:2409.19334, 2024 | | 2024 |
ITPatch: An Invisible and Triggered Physical Adversarial Patch against Traffic Sign Recognition S Yuan, H Li, X Han, G Xu, W Jiang, T Ni, Q Zhao, Y Fang arXiv preprint arXiv:2409.12394, 2024 | | 2024 |
Neural network prediction system for privacy preservation H Li, Y Haomiao, M Hao, J Hu, C Hanxiao, X Qian, FAN Wenshu, S Yuan, ... US Patent App. 18/472,644, 2024 | | 2024 |
Toward Efficient and End-to-End Privacy-Preserving Distributed Gradient Boosting Decision Trees S Yuan, H Li, X Qian, M Hao, Y Zhai, X Cui ICC 2023-IEEE International Conference on Communications, 1566-1571, 2023 | | 2023 |