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Location sharing service has become an indispensable part in mobile social networks. However, location sharing may introduce a new class of privacy threats ranging from localizing an individual to profiling and identifying him based on the places he shared. Although users may avoid releasing geocontent in sensitive locations, it does not necessarily prevent the adversary from inferring users' privacy through space-temporal correlations and historical information. In this paper, we design adoi:10.1155/2017/6814832 fatcat:5qy3256tqngyrfln57vpmqepc4