Jamie Cui

According to our database, Jamie Cui authored at least 10 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Robust Clustered Federated Learning.

Tiandi Ye, Senhui Wei, Jamie Cui, Cen Chen, Yingnan Fu, Ming Gao

Proceedings of the Database Systems for Advanced Applications, 2023

Online Efficient Secure Logistic Regression based on Function Secret Sharing.

Jing Liu, Jamie Cui, Cen Chen

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

A Customized Text Sanitization Mechanism with Differential Privacy.

Sai Chen, Fengran Mo, Yanhao Wang, Cen Chen, Jian-Yun Nie, Chengyu Wang, Jamie Cui

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

DP-PSI: Private and Secure Set Intersection.

Jian Du, Tianxi Ji, Jamie Cui, Lei Zhang, Yufei Lu, Pu Duan

CoRR, 2022

Scalable and Sparsity-Aware Privacy-Preserving K-means Clustering with Application to Fraud Detection.

Yingting Liu, Chaochao Chen, Jamie Cui, Li Wang, Lei Wang

CoRR, 2022

A Customised Text Privatisation Mechanism with Differential Privacy.

Huimin Chen, Fengran Mo, Cen Chen, Jamie Cui, Jian-Yun Nie

CoRR, 2022

Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation.

Jamie Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang

CoRR, 2022

2021

Practical and Light-weight Secure Aggregation for Federated Submodel Learning.

Jamie Cui, Cen Chen, Tiandi Ye, Li Wang

CoRR, 2021

2020

Highly-Scalable Protected Graph Database Search with Oblivious Filter.

Jamie Cui, Chaochao Chen, Li Wang

IACR Cryptol. ePrint Arch., 2020

Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications.

Chaochao Chen, Jamie Cui, Guanfeng Liu, Jia Wu, Li Wang

CoRR, 2020