期刊论文
[1] Fengwei Wang, Hui Zhu, Rongxing Lu, Yandong Zheng, Hui Li. A Privacy-Preserving and Non-Interactive Federated Learning Scheme for Regression Training With Gradient Descent. Information Sciences, 2021, 552:183-200. (SCI: 000612175800011, EI: 20210109710869) (中科院一区) (IF: 5.91)
[2] Fengwei Wang, Hui Zhu, Rongxing Lu, Yandong Zheng, Hui Li. Achieve Efficient and Privacy-Preserving Disease Risk Assessment Over Multi-Outsourced Vertical Datasets. IEEE Transactions on Dependable and Secure Computing, 2022, 19(3):1492-1504. (SCI: 000795125300005, EI: 20222112150815) (中科院二区) (IF: 6.864)
[3] Fengwei Wang, Hui Zhu, Ximeng Liu, Rongxing Lu, Fenghua Li, Hui Li, Songnian Zhang. Efficient and Privacy-Preserving Dynamic Spatial Query Scheme for Ride-Hailing Services. IEEE Transactions on Vehicular Technology, 2018, 67(11):11084-11097. (SCI: 000449962900075, EI: 20183705794476) (中科院二区) (IF: 5.379)
[4] Fengwei Wang, Hui Zhu, Ximeng Liu, Rongxing Lu, Jiafeng Hua, Hui Li, Hao Li. Privacy-Preserving Collaborative Model Learning Scheme for E-Healthcare. IEEE Access, 2019, 7:166054-166065. (SCI: 000498717200004, EI: 20200308030274) (中科院三区) (IF: 3.745)
[5] Hui Zhu, Fengwei Wang, Rongxing Lu, Fen Liu, Gang Fu, Hui Li. Efficient and Privacy-Preserving Proximity Detection Schemes for Social Applications. IEEE Internet of Things Journal, 2018, 5(4):2947-2957. (SCI: 000441428700065, EI: 20174404345494) (中科院一区) (IF: 9.936)
[6] Jiafeng Hua, Hui Zhu, Fengwei Wang, Ximeng Liu, Rongxing Lu, Hao Li, Yeping Zhang. CINEMA: Efficient and Privacy-Preserving Online Medical Primary Diagnosis With Skyline Query. IEEE Internet of Things Journal, 2019, 6(2):1450-1461. (SCI: 000467564700019, EI: 20182005188621) (中科院一区) (IF: 9.936)
[7] Jiaqi Zhao, Hui Zhu, Fengwei Wang, Rongxing Lu, Hui Li, Jingwei Tu, Jie Shen. CORK: A Privacy-Preserving and Lossless Federated Learning Scheme for Deep Neural Network. Information Sciences, 2022, 603:190-209. (SCI: 000799602100009, EI: 20221912100521) (中科院一区) (IF: 5.91)
[8] Jiaqi Zhao, Hui Zhu, Fengwei Wang, Rongxing Lu, Zhe Liu, Hui Li. PVD-FL: A Privacy-Preserving and Verifiable Decentralized Federated Learning Framework. IEEE Transactions on Information Forensics and Security, 2022, 17:2059-2073. (SCI: 000815662000001, EI: 20222112150197) (中科院一区) (IF: 6.013)
[9] Jiaqi Zhao, Hui Zhu, Fengwei Wang, Rongxing Lu, Hui Li, Zhongmin Zhou, Haitao Wan. ACCEL: An Efficient and Privacy-Preserving Federated Logistic Regression Scheme Over Vertically Partitioned Data. Science China Information Sciences, 2022, 65(170307):1-2. (SCI: 000817295300003, EI: 20222612299126) (中科院二区) (IF: 3.304)
[10] Xiaopeng Yang, Hui Zhu, Fengwei Wang, Songnian Zhang, Rongxing Lu, Hui Li. MASK: Efficient and Privacy-Preserving M-Tree Based Biometric Identification Over Cloud. Peer-to-Peer Networking and Applications, 2021, 14:2171-2186. (SCI: 000654096700001, EI: 20212210422837) (中科院三区) (IF: 2.793)
[11] Junpeng Zhang, Hui Zhu, Fengwei Wang, Jiaqi Zhao, Qi Xu, Hui Li. Security and Privacy Threats to Federated Learning: Issues, Methods, and Challenges. Security and Communication Networks, 2022, 2022:1-24, Article ID 2886795. (SCI: 000868599800001, EI: 20224212968292) (中科院四区) (IF: 1.288)
[12] Jiaqi Zhao, Hui Zhu, Wei Xu, Fengwei Wang, Rongxing Lu, Hui Li. SGBoost: An Efficient and Privacy-Preserving Vertical Federated Tree Boosting Framework. IEEE Transactions on Information Forensics and Security, 2022, 18:1022-1036. (SCI, EI) (中科院一区) (IF: 6.013)
[13] Jiafeng Hua, Guozhen Shi, Hui Zhu, Fengwei Wang, Ximeng Liu, Hao Li. CAMPS: Efficient and Privacy-Preserving Medical Primary Diagnosis Over Outsourced Cloud. Information Sciences, 2020, 527:560-575. (SCI: 000532695700034, EI: 20190206350074) (中科院一区) (IF: 5.91)
[14] Xichen Zhang, Rongxing Lu, Jun Shao, Fengwei Wang, Hui Zhu, Ali A. Ghorbani. FedSky: An Efficient and Privacy-Preserving Scheme for Federated Mobile Crowdsensing. IEEE Internet of Things Journal, 2022, 9(7):5344-5356. (SCI: 000792931400048, EI: 20221511948261) (中科院一区) (IF: 9.936)
[15] Dan Zhu, Hui Zhu, Ximeng Liu, Hui Li, Fengwei Wang, Hao Li, Dengguo Feng. CREDO: Efficient and Privacy-Preserving Multi-Level Medical Pre-Diagnosis Based on ML-KNN. Information Sciences, 2020, 514:244-262. (SCI: 000513296600014, EI: 20195007809959) (中科院一区) (IF: 5.91)
[16] Yandong Zheng, Rongxing Lu, Hui Zhu, Songnian Zhang, Yunguo Guan, Jun Shao, Fengwei Wang, Hui Li. SetRkNN: Efficient and Privacy-Preserving Set Reverse KNN Query in Cloud. IEEE Transactions on Information Forensics and Security, 2022, 18:888-903. (SCI, EI) (中科院一区) (IF: 6.013)
[17] Yandong Zheng, Rongxing Lu, Songnian Zhang, Yunguo Guan, Jun Shao, Fengwei Wang, Hui Zhu. PMRQ: Achieving Efficient and Privacy-Preserving Multi-Dimensional Range Query in EHealthcare. IEEE Internet of Things Journal, 2022, 1-12. (SCI, EI: 20221111799405) (中科院一区) (IF: 9.936)
[18] Yandong Zheng, Rongxing Lu, Yunguo Guan, Songnian Zhang, Jun Shao, Fengwei Wang, Hui Zhu. Efficient and Privacy-Preserving Spatial-Feature-Based Reverse KNN Query. IEEE Transactions on Services Computing, 2022, 1-12. (SCI, EI: 20224613111258) (中科院二区) (IF: 5.823)
[19] Yandong Zheng, Rongxing Lu, Songnian Zhang, Yunguo Guan, Fengwei Wang, Jun Shao, Hui Zhu. PRkNN: Efficient and Privacy-Preserving Reverse KNN Query Over Encrypted Data. IEEE Transactions on Dependable and Secure Computing, 2022, 1-16. (SCI, EI: 20224212978942) (中科院二区) (IF: 6.864)
[20] Jiezhen Tang, Hui Zhu, Rongxing Lu, Xiaodong Lin, Hui Li, Fengwei Wang. DLP: Achieve Customizable Location Privacy With Deceptive Dummy Techniques in LBS Applications. IEEE Internet of Things Journal, 2022, 9(9):6969-6984. (SCI: 000795973100055, EI: 20214111016640) (中科院一区) (IF: 9.936)
会议论文
[1] Fengwei Wang, Hui Zhu, Rongxing Lu, Fen Liu, Cheng Huang, Hui Li. Achieve Efficient and Privacy-Preserving Proximity Detection Scheme for Social Applications. 13th EAI International Conference on Security and Privacy in Communication Networks, SecureComm 2017, 2018, 238:339-355.
[2] Xingdong Liu, Hui Zhu, Fengwei Wang, Yandong Zheng, Zhe Liu. Efficient and Privacy-Preserving Neural Network Prediction Scheme with TEE. 2023 IEEE International Conference on Communications, ICC 2023, 2023, 1-6.
[3] Yandong Zheng, Hui Zhu, Rongxing Lu, Fengwei Wang. PRRkNN: Efficient and Privacy-Preserving Range-Based Reverse KNN over Encrypted Data. 2023 IEEE International Conference on Communications, ICC 2023, 2023, 1-6.
[4] Qi Xu, Hui Zhu, Yandong Zheng, Fengwei Wang, Rongxing Lu, Le Gao. Efficient and Privacy-Preserving Geo-Social-Based POI Recommendation over Encrypted Data. 2023 IEEE International Conference on Communications, ICC 2023, 2023, 1-6.
[5] Linlin Li, Hui Zhu, Yandong Zheng, Fengwei Wang, Rongxing Lu, Hui Li. Efficient and Privacy-Preserving Fusion Based Multi-Biometric Recognition. 65th IEEE Global Communications Conference, GLOBECOM 2022, 2022.
[6] Yandong Zheng, Rongxing Lu, Songnian Zhang, Hui Zhu, Fengwei Wang. Efficiency-Improved Privacy-Preserving Weighted Similarity Query over Outsourced EHealthcare Data. 65th IEEE Global Communications Conference, GLOBECOM 2022, 2022.
[7] Qi Li, Hui Zhu, Ziling Zhang, Rongxing Lu, Fengwei Wang, Hui Li. Spoofing Attacks on Speaker Verification Systems Based Generated Voice Using Genetic Algorithm. 2019 IEEE International Conference on Communications, ICC 2019, 2019.
[8] Dan Zhu, Hui Zhu, Ximeng Liu, Hui Li, Fengwei Wang, Hao Li. Achieve Efficient and Privacy-Preserving Medical Primary Diagnosis Based on KNN. 2018 27th International Conference on Computer Communication and Networks (ICCCN), 2018.
发明专利
[1] 王枫为, 张艳弟, 刘佳琪, 张杰, 刘灏, 朱辉, 李晖. 一种位置隐私保护的实时疾控流调方法. 专利号: ZL202210893765.7, 申请公告日: 2022年07月27日.
[2] 朱辉, 王枫为, 李晖, 李凤华, 杨晓鹏, 武衡. 一种面向在线打车服务的隐私保护系统及方法. 专利号: ZL201810241147.8, 授权公告日: 2020年11月10日.
[3] 李昊, 王枫为, 朱辉, 李晖, 赵家奇, 寇笑语. 一种面向多方协同的贝叶斯分类器安全生成系统及方法. 专利号: ZL201911269984.2, 申请公告日: 2020年05月15日.
[4] 朱辉, 王枫为, 寇笑语, 李晖, 朱丹, 华佳烽. 隐私保护的多方诊断模型融合方法及系统、云端服务器. 专利号: ZL201811163660.6, 授权公告日: 2021年07月30日.
[5] 朱辉, 赵家奇, 胡国靖, 王枫为, 季琰, 徐奇. 一种隐私保护的神经网络多方协作无损训练方法及系统. 专利号: ZL202110560355.6, 申请公告日: 2021年09月24日.
[6] 朱辉, 李沛凝, 魏立力, 王枫为, 兰玮, 胡国靖. 隐私保护的多方数据协作分箱方法、系统、设备、终端. 专利号: ZL202111401352.4, 专利申请日: 2021年11月19日.
[7] 朱辉, 李琳琳, 季琰, 兰玮, 王枫为, 周中民. 一种基于密文的数值安全排序方法及系统. 专利号: ZL202111309861.4, 专利申请日: 2021年11月07日.
[8] 朱辉, 赵家奇, 胡国靖, 王枫为, 季琰, 徐奇. 一种隐私保护的神经网络多方协作无损训练方法及系统. 专利号: ZL202110560355.6, 申请公告日: 2021年09月24日.
[9] 朱辉, 王二梅, 宛海涛, 王枫为, 李临风, 涂敬伟, 赵家奇. 一种非交互式的隐私保护逻辑回归联邦训练方法及系统. 专利号: ZL202110561403.3, 申请公告日: 2021年09月24日.
[10] 朱辉, 李临风, 沈洁, 赵家奇, 王枫为, 魏立力, 王二梅. 一种多源垂直分布数据的逻辑回归安全训练方法及系统. 专利号: ZL202111006040.3, 专利申请日: 2021年08月31日.