Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications. - Chaochao Chen 001; Jamie Cui; Guanfeng Liu 001; Jia Wu 001; Li Wang 056 (CoRR, 2020)

Highly-Scalable Protected Graph Database Search with Oblivious Filter. - Jamie Cui; Chaochao Chen 001; Li Wang 056 (IACR Cryptol. ePrint Arch., 2020)

Practical and Light-weight Secure Aggregation for Federated Submodel Learning. - Jamie Cui; Cen Chen 001; Tiandi Ye; Li Wang 057 (CoRR, 2021)

Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation. - Jamie Cui; Chaochao Chen 001; Lingjuan Lyu; Carl Yang 001; Li Wang 056 (CoRR, 2022)

A Customised Text Privatisation Mechanism with Differential Privacy. - Huimin Chen; Fengran Mo; Cen Chen 001; Jamie Cui; Jian-Yun Nie (CoRR, 2022)

Scalable and Sparsity-Aware Privacy-Preserving K-means Clustering with Application to Fraud Detection. - Yingting Liu; Chaochao Chen 001; Jamie Cui; Li Wang 056; Lei Wang 152 (CoRR, 2022)

DP-PSI: Private and Secure Set Intersection. - Jian Du; Tianxi Ji; Jamie Cui; Lei Zhang; Yufei Lu; Pu Duan (CoRR, 2022)

A Customized Text Sanitization Mechanism with Differential Privacy. - Sai Chen; Fengran Mo; Yanhao Wang 001; Cen Chen 001; Jian-Yun Nie; Chengyu Wang 001; Jamie Cui (ACL (Findings), 2023)

Online Efficient Secure Logistic Regression based on Function Secret Sharing. - Jing Liu 032; Jamie Cui; Cen Chen 001 (CIKM, 2023)

Robust Clustered Federated Learning. - Tiandi Ye; Senhui Wei; Jamie Cui; Cen Chen 001; Yingnan Fu; Ming Gao 001 (DASFAA (1), 2023)

FedPAB: Federated Medical Image Segmentation with Personalized Attention and Boundary-oriented Learning. - Xinyv Li; Cen Chen 001; Jamie Cui (BIBM, 2024)

Survey and open problems in privacy-preserving knowledge graph: merging, query, representation, completion, and applications. - Chao-Chao Chen 001; Fei Zheng; Jamie Cui; Yuwei Cao; Guanfeng Liu 001; Jia Wu 001; Jun Zhou 011 (Int. J. Mach. Learn. Cybern., 2024)