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20172022
most citedPCKV: Locally Differentially Private Correlated Key-Value Data Collection with Optimized Utility

17 citations · 46 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.DB20227 cited

HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data

Fumiyuki Kato, Tsubasa Takahashi, Shun Takagi +3

How can we explore the unknown properties of high-dimensional sensitive relational data while preserving privacy? We study how to construct an explorable privacy-preserving materia…

cs.DB20201 cited

PANDA: Policy-aware Location Privacy for Epidemic Surveillance

Yang Cao, Shun Takagi, Yonghui Xiao +2

In this demonstration, we present a privacy-preserving epidemic surveillance system. Recently, many countries that suffer from coronavirus crises attempt to access citizen's locati…

cs.DB2019

Effcient logging and querying for Blockchain-based cross-site genomic dataset access audit

Shuaicheng Ma, Yang Cao, Li Xiong

Background: Genomic data have been collected by different institutions and companies and need to be shared for broader use. In a cross-site genomic data sharing system, a secure an…

cs.DB2019

Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services

Yang Cao, Yonghui Xiao, Li Xiong +2

Location privacy-preserving mechanisms (LPPMs) have been extensively studied for protecting users' location privacy by releasing a perturbed location to third parties such as locat…

cs.DB2019

When and where do you want to hide? Recommendation of location privacy preferences with local differential privacy

Maho Asada, Masatoshi Yoshikawa, Yang Cao

In recent years, it has become easy to obtain location information quite precisely. However, the acquisition of such information has risks such as individual identification and lea…

cs.DB2018

PriSTE: From Location Privacy to Spatiotemporal Event Privacy

Yang Cao, Yonghui Xiao, Li Xiong +1

Location privacy-preserving mechanisms (LPPMs) have been extensively studied for protecting a user's location at each time point or a sequence of locations with different timestamp…