| Achieving efficient and privacy-preserving neural network training and prediction in cloud environments C Zhang, C Hu, T Wu, L Zhu, X Liu IEEE Transactions on Dependable and Secure Computing 20 (5), 4245-4257, 2022 | 61 | 2022 |
| 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 | 50 | 2023 |
| Achieving verifiable decision tree prediction on hybrid blockchains M Fu, C Zhang, C Hu, T Wu, J Dong, L Zhu Entropy 25 (7), 1058, 2023 | 6 | 2023 |
| Multi-Round Efficient and Secure Truth Discovery in Mobile Crowdsensing Systems C Hu, Z Li, Y Xu, C Zhang, X Liu, D He, L Zhu IEEE Internet of Things Journal, 2024 | 2 | 2024 |
| 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 |
| Achieving efficient and privacy-preserving arbitrary geographic range query for cloud C Zhang, C Hu, M Zhao, Y Wu, T Wu 2022 4th International Conference on Data Intelligence and Security (ICDIS …, 2022 | 1 | 2022 |
| Achieving Privacy-preserving Arbitrary Geometric Range Query with Bilateral Access Control X Ma, C Hu, Z Li, H Liang, T Wu, T Zhang 2023 IEEE International Conferences on Internet of Things (iThings) and IEEE …, 2023 | | 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 | | 2023 |
