2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.DB2021
A Neural Database for Differentially Private Spatial Range Queries
Sepanta Zeighami, Ritesh Ahuja, Gabriel Ghinita +1
Mobile apps and location-based services generate large amounts of location data that can benefit research on traffic optimization, context-aware notifications and public health (e.…
cs.DB2021★ 1 cited
HTF: Homogeneous Tree Framework for Differentially-Private Release of Location Data
Sina Shaham, Gabriel Ghinita, Ritesh Ahuja +2
Mobile apps that use location data are pervasive, spanning domains such as transportation, urban planning and healthcare. Important use cases for location data rely on statistical…
cs.LG2020★ 2 cited
DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis
Mingxuan Yue, Yaguang Li, Haoze Yang +3
Identifying mobility behaviors in rich trajectory data is of great economic and social interest to various applications including urban planning, marketing and intelligence. Existi…