most citedSecure Hot Path Crowdsourcing with Local Differential Privacy under Fog Computing Architecture

27 citations · 58 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2020★ 27 cited

Secure Hot Path Crowdsourcing with Local Differential Privacy under Fog Computing Architecture

Mengmeng Yang, Ivan Tjuawinata, Kwok Yan Lam +2

Crowdsourcing plays an essential role in the Internet of Things (IoT) for data collection, where a group of workers is equipped with Internet-connected geolocated devices to collec…

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.IR2019★ 2 cited

Combinatorial Keyword Recommendations for Sponsored Search with Deep Reinforcement Learning

Zhipeng Li, Jianwei Wu, Lin Sun +1

In sponsored search, keyword recommendations help advertisers to achieve much better performance within limited budget. Many works have been done to mine numerous candidate keyword…

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…