most citedHDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data

7 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

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.CR20202 cited

Geo-Graph-Indistinguishability: Location Privacy on Road Networks Based on Differential Privacy

Shun Takagi, Yang Cao, Yasuhito Asano +1

In recent years, concerns about location privacy are increasing with the spread of location-based services (LBSs). Many methods to protect location privacy have been proposed in th…

cs.LG20203 cited

Differentially Private Variational Autoencoders with Term-wise Gradient Aggregation

Tsubasa Takahashi, Shun Takagi, Hajime Ono +1

This paper studies how to learn variational autoencoders with a variety of divergences under differential privacy constraints. We often build a VAE with an appropriate prior distri…

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.CR20203 cited

PGLP: Customizable and Rigorous Location Privacy through Policy Graph

Yang Cao, Yonghui Xiao, Shun Takagi +6

Location privacy has been extensively studied in the literature. However, existing location privacy models are either not rigorous or not customizable, which limits the trade-off b…