With the advancement in communication techniques and sensor technologies, mobile crowdsensing (MCS)—one of the most successful applications of crowdsourcing—has …
We propose a general approach for differentially private synthetic data generation, that consists of three steps:(1) select a collection of low-dimensional marginals,(2) measure …
Y Xiao, L Xiong - Proceedings of the 22nd ACM SIGSAC conference on …, 2015 - dl.acm.org
Concerns on location privacy frequently arise with the rapid development of GPS enabled devices and location-based applications. While spatial transformation techniques such as …
Spatial Crowdsourcing (SC) is a transformative platform that engages individuals, groups and communities in the act of collecting, analyzing, and disseminating environmental, social …
The widespread adoption of continuously connected smartphones and tablets developed the usage of mobile applications, among which many use location to provide geolocated …
GPS-enabled devices are now ubiquitous, from airplanes and cars to smartphones and wearable technology. This has resulted in a wealth of data about the movements of …
R McKenna, D Sheldon… - … Conference on Machine …, 2019 - proceedings.mlr.press
Many privacy mechanisms reveal high-level information about a data distribution through noisy measurements. It is common to use this information to estimate the answers to new …
J Zhang, X Xiao, X Xie - … of the 2016 international conference on …, 2016 - dl.acm.org
Given a set D of tuples defined on a domain Omega, we study differentially private algorithms for constructing a histogram over Omega to approximate the tuple distribution in …
The widespread use of mobile devices such as smartphones, tablets, and smartwatches has led users to constantly generate various location data during their daily activities …