| Achieving privacy-preserving and verifiable support vector machine training in the cloud C Hu, C Zhang, D Lei, T Wu, X Liu, L Zhu IEEE Transactions on Information Forensics and Security 18, 3476-3491, 2023 | 60 | 2023 |
| Publicly verifiable and secure SVM classification for cloud-based health monitoring services D Lei, J Liang, C Zhang, X Liu, D He, L Zhu, S Guo IEEE Internet of Things Journal, 2023 | 3 | 2023 |
| Calculation of sentence vector similarity based on fasttext model of weighted fusion S Lai, D Lei 2022 4th International Conference on Advances in Computer Technology …, 2022 | 3 | 2022 |
| Security, Privacy, and Reliability in Ubiquitous Intelligence Empowered Internet of Vehicles C Zhang, C Hu, W Zhang, H Liang, D Lei, L Zhu IEEE Internet of Things Magazine 6 (3), 92-96, 2023 | 1 | 2023 |
| NPNNL: A Non-interactive Privacy-preserving Neural Network Learning Scheme D Lei, C Hu, J Dong 2023 IEEE International Conference on Metaverse Computing, Networking and …, 2023 | 1 | 2023 |
| Achieving Adaptive Privacy-Preserving Graph Neural Networks Training in Cloud Environment Y Yuan, D Lei, Q Fan, K Zhao, L Zhu, C Zhang 2024 IEEE 12th International Conference on Information, Communication and …, 2024 | | 2024 |
| Achieving Privacy-Preserving and Scalable Graph Neural Network Prediction in Cloud Environments Y Yuan, D Lei, C Zhang, X Liu, Z Xiong, L Zhu ICC 2024-IEEE International Conference on Communications, 4632-4637, 2024 | | 2024 |
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