| PrivKV: Key-value data collection with local differential privacy Q Ye, H Hu, X Meng, H Zheng 2019 IEEE Symposium on Security and Privacy (SP), 317-331, 2019 | 175 | 2019 |
| BDPL: A boundary differentially private layer against machine learning model extraction attacks H Zheng, Q Ye, H Hu, C Fang, J Shi Computer Security–ESORICS 2019: 24th European Symposium on Research in …, 2019 | 60 | 2019 |
| LF-GDPR: A framework for estimating graph metrics with local differential privacy Q Ye, H Hu, MH Au, X Meng, X Xiao IEEE Transactions on Knowledge and Data Engineering 34 (10), 4905-4920, 2020 | 59 | 2020 |
| Survey on local differential privacy Q Ye, X Meng, M Zhu, Z Huo Journal of Software 29 (7), 1981-2005, 2018 | 53* | 2018 |
| Towards locally differentially private generic graph metric estimation Q Ye, H Hu, MH Au, X Meng, X Xiao 2020 IEEE 36th International Conference on Data Engineering (ICDE), 1922-1925, 2020 | 45 | 2020 |
| Beyond value perturbation: Local differential privacy in the temporal setting Q Ye, H Hu, N Li, X Meng, H Zheng, H Yan IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 1-10, 2021 | 35 | 2021 |
| PrivKVM*: Revisiting key-value statistics estimation with local differential privacy Q Ye, H Hu, X Meng, H Zheng, K Huang, C Fang, J Shi IEEE Transactions on Dependable and Secure Computing 20 (1), 17-35, 2021 | 30 | 2021 |
| Protecting decision boundary of machine learning model with differentially private perturbation H Zheng, Q Ye, H Hu, C Fang, J Shi IEEE Transactions on Dependable and Secure Computing 19 (3), 2007-2022, 2020 | 26 | 2020 |
| Local differential privacy: Tools, challenges, and opportunities Q Ye, H Hu International conference on web information systems engineering, 13-23, 2020 | 25 | 2020 |
| DDRM: A continual frequency estimation mechanism with local differential privacy Q Xue, Q Ye, H Hu, Y Zhu, J Wang IEEE Transactions on Knowledge and Data Engineering 35 (7), 6784-6797, 2022 | 21 | 2022 |
| 本地化差分隐私研究综述 叶青青， 孟小峰， 朱敏杰， 霍峥 软件学报 29 (7), 1981-2005, 2017 | 21 | 2017 |
| Utility analysis and enhancement of LDP mechanisms in high-dimensional space J Duan, Q Ye, H Hu 2022 IEEE 38th International Conference on Data Engineering (ICDE), 407-419, 2022 | 20 | 2022 |
| Privacy and efficiency guaranteed social subgraph matching K Huang, H Hu, S Zhou, J Guan, Q Ye, X Zhou The VLDB Journal, 1-22, 2022 | 20 | 2022 |
| 3dfed: Adaptive and extensible framework for covert backdoor attack in federated learning H Li, Q Ye, H Hu, J Li, L Wang, C Fang, J Shi 2023 IEEE Symposium on Security and Privacy (SP), 1893-1907, 2023 | 18 | 2023 |
| Synthesizing realistic trajectory data with differential privacy X Sun, Q Ye, H Hu, Y Wang, K Huang, T Wo, J Xu IEEE Transactions on Intelligent Transportation Systems 24 (5), 5502-5515, 2023 | 17 | 2023 |
| Efficient verifiably encrypted ECDSA-like signatures and their applications X Yang, M Liu, MH Au, X Luo, Q Ye IEEE Transactions on Information Forensics and Security 17, 1573-1582, 2022 | 16 | 2022 |
| Collecting high-dimensional and correlation-constrained data with local differential privacy R Du, Q Ye, Y Fu, H Hu 2021 18th Annual IEEE International Conference on Sensing, Communication …, 2021 | 16 | 2021 |
| Mobile data collection and analysis with local differential privacy N Li, Q Ye 2019 20th IEEE international conference on Mobile data management (MDM), 4-7, 2019 | 16 | 2019 |
| Practical escrow protocol for bitcoin X Yang, WF Lau, Q Ye, MH Au, JK Liu, J Cheng IEEE Transactions on Information Forensics and Security 15, 3023-3034, 2020 | 11 | 2020 |
| LF-GDPR: Graph metric estimation with local differential privacy Q Ye, H Hu, MH Au, X Meng, X Xiao IEEE Transactions on Knowledge and Data Engineering (TKDE) 10, 2020 | 8 | 2020 |
Haibo HuProfessor and Associate Head, Hong Kong Polytechnic University在 polyu.edu.hk 的电子邮件经过验证
