Backett-Milburn and McKie [2] critique the possi-ble conclusions from draw-and-write studies (i.e., the methodology of drawing and then writing a description of the drawing). They ask the following of a.
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.
