| Fedsel: Federated sgd under local differential privacy with top-k dimension selection R Liu, Y Cao, M Yoshikawa, H Chen Database Systems for Advanced Applications: 25th International Conference …, 2020 | 143 | 2020 |
| Flame: Differentially private federated learning in the shuffle model R Liu, Y Cao, H Chen, R Guo, M Yoshikawa Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 8688-8696, 2021 | 105 | 2021 |
| Efficient-FedRec: Efficient federated learning framework for privacy-preserving news recommendation J Yi, F Wu, C Wu, R Liu, G Sun, X Xie arXiv preprint arXiv:2109.05446, 2021 | 66 | 2021 |
| No one left behind: Inclusive federated learning over heterogeneous devices R Liu, F Wu, C Wu, Y Wang, L Lyu, H Chen, X Xie Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 59 | 2022 |
| Multi-modal motion-capture-based biometric systems for emergency response and patient rehabilitation ML Gavrilova, F Ahmed, ASMH Bari, R Liu, T Liu, Y Maret, BK Sieu, ... Research Anthology on Rehabilitation Practices and Therapy, 653-678, 2021 | 37 | 2021 |
| Privaterec: Differentially private model training and online serving for federated news recommendation R Liu, Y Cao, Y Wang, L Lyu, Y Chen, H Chen Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 18* | 2023 |
| Mixgeo: Efficient secure range queries on encrypted dense spatial data in the cloud R Guo, B Qin, Y Wu, R Liu, H Chen, C Li Proceedings of the International Symposium on Quality of Service, 1-10, 2019 | 16 | 2019 |
| A pufferfish privacy mechanism for monitoring web browsing behavior under temporal correlations W Liang, H Chen, R Liu, Y Wu, C Li Computers & Security 92, 101754, 2020 | 15 | 2020 |
| Efficient protocols for heavy hitter identification with local differential privacy D Zhao, S Zhao, H Chen, R Liu, C Li, W Liang Frontiers of Computer Science 16 (5), 165825, 2022 | 8 | 2022 |
| LuxGeo: Efficient and Security-Enhanced Geometric Range Queries R Guo, B Qin, Y Wu, R Liu, H Chen, C Li IEEE Transactions on Knowledge and Data Engineering 35 (2), 1775-1790, 2021 | 8 | 2021 |
| Local differential privacy with k-anonymous for frequency estimation D Zhao, H Chen, S Zhao, X Zhang, C Li, R Liu 2019 IEEE International Conference on Big Data (Big Data), 5819-5828, 2019 | 8 | 2019 |
| 机器学习中的隐私攻击与防御 刘睿瑄， 陈红， 郭若杨， 赵丹， 梁文娟， 李翠平 软件学报 31 (3), 866-892, 2019 | 8 | 2019 |
| Fldp: Flexible strategy for local differential privacy D Zhao, H Chen, S Zhao, R Liu, C Li, X Zhang ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 5 | 2022 |
| PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps R Liu, T Wang, Y Cao, L Xiong arXiv preprint arXiv:2403.09562, 2024 | 4 | 2024 |
| Zero redundancy distributed learning with differential privacy Z Bu, J Chiu, R Liu, S Zha, G Karypis arXiv preprint arXiv:2311.11822, 2023 | 3 | 2023 |
| On the accuracy and efficiency of group-wise clipping in differentially private optimization Z Bu, R Liu, YX Wang, S Zha, G Karypis arXiv preprint arXiv:2310.19215, 2023 | 3 | 2023 |
| Hadamard Encoding Based Frequent Itemset Mining under Local Differential Privacy D Zhao, SY Zhao, H Chen, RX Liu, CP Li, XY Zhang Journal of Computer Science and Technology 38 (6), 1403-1422, 2023 | 3 | 2023 |
| PCDP-SGD: Improving the convergence of differentially private SGD via projection in advance H Sha, R Liu, Y Liu, H Chen arXiv preprint arXiv:2312.03792, 2023 | 2 | 2023 |
| Coupling public and private gradient provably helps optimization R Liu, Z Bu, Y Wang, S Zha, G Karypis arXiv preprint arXiv:2310.01304, 2023 | 2 | 2023 |
| Supporting Pandemic Preparedness with Privacy Enhancing Technology R Liu, S Zeighami, H Lin, C Shahabi, Y Cao, S Takagi, Y Konishi, ... 2023 5th IEEE International Conference on Trust, Privacy and Security in …, 2023 | 1 | 2023 |
Hong ChenProfessor of computer science, Renmin University of ChinaVerified email at ruc.edu.cn
