Publications (7)
Scalable and Sparsity-Aware Privacy-Preserving K-means Clustering with Application to Fraud Detection
Yingting Liu, Chaochao Chen, Jamie Cui +2
K-means is one of the most widely used clustering models in practice. Due to the problem of data isolation and the requirement for high model performance, how to jointly build prac…
A Customized Text Sanitization Mechanism with Differential Privacy
Huimin Chen, Fengran Mo, Yanhao Wang +4
As privacy issues are receiving increasing attention within the Natural Language Processing (NLP) community, numerous methods have been proposed to sanitize texts subject to differ…
DP-PSI: Private and Secure Set Intersection
Jian Du, Tianxi Ji, Jamie Cui +3
One way to classify private set intersection (PSI) for secure 2-party computation is whether the intersection is (a) revealed to both parties or (b) hidden from both parties while…
Online Efficient Secure Logistic Regression based on Function Secret Sharing
Jing Liu, Jamie Cui, Cen Chen
Logistic regression is an algorithm widely used for binary classification in various real-world applications such as fraud detection, medical diagnosis, and recommendation systems.…
Practical and Light-weight Secure Aggregation for Federated Submodel Learning
Jamie Cui, Cen Chen, Tiandi Ye +1
Recently, Niu, et. al. introduced a new variant of Federated Learning (FL), called Federated Submodel Learning (FSL). Different from traditional FL, each client locally trains the…
Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications
Chaochao Chen, Jamie Cui, Guanfeng Liu +2
Knowledge Graph (KG) has attracted more and more companies' attention for its ability to connect different types of data in meaningful ways and support rich data services. However,…
Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation
Jamie Cui, Chaochao Chen, Lingjuan Lyu +2
Social recommendation has shown promising improvements over traditional systems since it leverages social correlation data as an additional input. Most existing work assumes that a…