Mobility data privacy vs. utility Information sharing for data-driven customization and large-scale analytics •context-awareness •transportation management, health studies, urban development Utility.
ther reduce the effective privacy values by multiple orders of magnitude. Similar parameter values for differ-entially private systems are being increasingly adopted by the research community [56] as well.
Deep learning is the machine learning (ML) technology of choice for analyzing personal photos, communications, loca-tion trajectories, health-care records, transactions, etc.
and from performance issues. To address these issues, Hayes and Danezis proposed the use ofguard sets, in which the Tor system groups all guards into sets, and each .
