Ruixuan Liu
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Zero redundancy distributed learning with differential privacy
Z Bu, J Chiu, R Liu, S Zha, G Karypis
arXiv preprint arXiv:2311.11822, 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
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
Coupling public and private gradient provably helps optimization
R Liu, Z Bu, Y Wang, S Zha, G Karypis
arXiv preprint arXiv:2310.01304, 2023
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