Differentially Private Location Protection for Worker Datasets in Spatial Crowdsourcing

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Article number7501846
Pages (from-to)934-949
Number of pages16
JournalIEEE Transactions on Mobile Computing
Volume16
Issue number4
DOIs
StatePublished - Apr 1 2017

ASJC Scopus Subject Areas

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Keywords

  • differential privacy
  • Spatial crowdsourcing

Fingerprint

Dive into the research topics of 'Differentially Private Location Protection for Worker Datasets in Spatial Crowdsourcing'. Together they form a unique fingerprint.

Cite this