“…There have been a number of successful applications of differential privacy with respect to specific types of data-including data from genome-wide association studies, 248 location history data, 249 data on commuter patterns, 250 mobility data, 251 client-side software data, 252 and data on usage patterns for phone technology. 253 For differentially private releases of each of these types of data, experts in differential privacy have taken care to choose algorithms and allocate privacy budgets with the aim of maximizing utility with respect to the particular data set.…”