52 citations · 87 across the 7 of their papers we have counts for
Showing cs.CRShow all
3 papers · 1 filter
cs.CR2020★ 2 cited
BiSample: Bidirectional Sampling for Handling Missing Data with Local Differential Privacy
Lin Sun, Xiaojun Ye, Jun Zhao +2
Local differential privacy (LDP) has received much interest recently. In existing protocols with LDP guarantees, a user encodes and perturbs his data locally before sharing it to t…
cs.CR2019★ 15 cited
Conditional Analysis for Key-Value Data with Local Differential Privacy
Lin Sun, Jun Zhao, Xiaojun Ye +3
Local differential privacy (LDP) has been deemed as the de facto measure for privacy-preserving distributed data collection and analysis. Recently, researchers have extended LDP to…
cs.CR2019★ 12 cited
Distributed Clustering in the Anonymized Space with Local Differential Privacy
Lin Sun, Jun Zhao, Xiaojun Ye
Clustering and analyzing on collected data can improve user experiences and quality of services in big data, IoT applications. However, directly releasing original data brings pote…