Secure computation primitives and protocols: OT, VOLE, PSI, etc.
Foundations of cryptography
Privacy-preserving machine learning
Publications
FedPAB: Federated Medical Image Segmentation with Personalized Attention and Boundary-oriented Learning
Xinyv Li, Cen Chen, Jamie Cui
BIBM 2024, link
Online-Efficient Secure Logistic Regression based on Function Secret Sharing
Jing Liu, Jamie Cui, Cen Chen /* Co-first-author */
CIKM 2023, eprint
Robust Clustered Federated Learning
Tiandi Ye, Senhui Wei, Jamie Cui, Cen Chen, Yingnan Fu, Ming Gao
DASFAA 2023, link
A Customized Text Sanitization Mechanism with Differential Privacy
Sai Chen, Fengran Mo, Yanhao Wang, Cen Chen, Jian-Yun Nie, Chengyu Wang, Jamie Cui
ACL 2023, eprint
Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation Jamie Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Wang Li
NeurIPS 2021, eprint
Privacy-Preserving Computation over Genetic Data: HLA Matching and so on Jinming Cui, Huaping Li, Meng Yang
IJCAI 2019 workshop, eprint