To privately publish sensitive multimedia data in an edge network with fog devices, one of
the best privacy-preserving solutions is to use differential privacy (DP) mechanisms …

While collecting data from a large population, local differential privacy (LDP), which only
sends users' perturbed data to the data collector, becomes a popular solution to preserving …

Star-join query is the fundamental task in data warehouse and has wide applications in On-
line Analytical Processing (olap) scenarios. Due to the large number of foreign key …

This paper studies privacy in the context of complex decision support queries composed of
multiple conditions on different aggregate statistics combined using disjunction and …

Despite the enormous data processing capacity available in big data frameworks, obtaining
appropriate and private responses to large-scale queries without revealing sensitive …

Differential privacy synthetic data is one of the most effective methods for privacy preserving
data release. However, the existing schemes still suffer from high computational complexity …

Geospatial data collected from location-based services (LBS) systems provide a wealth of
location information when analyzing spatial information. However, publishing location data …

概 要本研究では, 複数のデータ所有者から収集した生データに対して, クラウド上でレンジクエリ
処理を行う際の, 差分プライバシと完全準同型暗号を用いたプライバシ保護に取り組む …