386 citations · 862 across the 22 of their papers we have counts for
14 papers · 1 filter
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…
Eclipse: Generalizing kNN and Skyline
Jinfei Liu, Li Xiong, Qiuchen Zhang +2
nearest neighbor (NN) queries and skyline queries are important operators on multi-dimensional data points. Given a query point, NN query returns the nearest neighbor…
Efficient Contour Computation of Group-based Skyline
Wenhui Yu, Jinfei Liu, Jian Pei +3
Skyline, aiming at finding a Pareto optimal subset of points in a multi-dimensional dataset, has gained great interest due to its extensive use for multi-criteria analysis and deci…
Skyline Diagram: Efficient Space Partitioning for Skyline Queries
Jinfei Liu, Juncheng Yang, Li Xiong +5
Skyline queries are important in many application domains. In this paper, we propose a novel structure Skyline Diagram, which given a set of points, partitions the plane into a set…
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…
Secure and Efficient Skyline Queries on Encrypted Data
Jinfei Liu, Juncheng Yang, Li Xiong +1
Outsourcing data and computation to cloud server provides a cost-effective way to support large scale data storage and query processing. However, due to security and privacy concer…