R
Ritesh Ahuja
Researcher at University of Southern California
Publications - 11
Citations - 155
Ritesh Ahuja is an academic researcher from University of Southern California. The author has contributed to research in topics: Computer science & Differential privacy. The author has an hindex of 3, co-authored 11 publications receiving 19 citations.
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Journal ArticleDOI
REACT: real-time contact tracing and risk monitoring using privacy-enhanced mobile tracking
Li Xiong,Cyrus Shahabi,Yanan Da,Ritesh Ahuja,Vicki S. Hertzberg,Lance A. Waller,Xiaoqian Jiang,Amy Franklin +7 more
TL;DR: The procedure of contact tracing is demonstrated using the REACT application and the utility of contact trace given the protected locations is demonstrated.
Proceedings ArticleDOI
DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis
TL;DR: Deep Embedded TrajEctory Clustering Network (DETECT) as mentioned in this paper is an unsupervised neural approach for mobility behavior clustering, which operates in three parts: first it transforms the trajectories by summarizing their critical parts and augmenting them with context derived from their geographical locality.
Proceedings Article
A Utility-Preserving and Scalable Technique for Protecting Location Data with Geo-Indistinguishability.
TL;DR: The central idea is to use the composability property of GeoInd to create a multiple-step algorithm that can be used in conjunction with a spatial index and achieve scalability by pruning the solution search space with the help of the index when seeking high-utility outcomes.
Posted Content
DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis
TL;DR: An unsupervised neural approach for mobility behavior clustering, called the Deep Embedded TrajEctory ClusTering network (DETECT), which learns a powerful representation of trajectories in the latent space of behaviors, thus enabling a clustering function (such as k-means) to be applied.
Proceedings ArticleDOI
REACT: Real-Time Contact Tracing and Risk Monitoring via Privacy-Enhanced Mobile Tracking
TL;DR: In this paper, the authors present a system, REACT, for real-time contact tracing and risk monitoring via privacy-enhanced tracking of users' locations, which allows users to control and refine the precision with which their information will be collected and used.