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Geosocial networks are online social networks centered on the locations ofsubscribers and businesses. Providing input to targeted advertising, profilingsocial network users becomes an important source of revenue. Its naturalreliance on personal information introduces a trade-off between user privacyand incentives of participation for businesses and geosocial network providers.In this paper we introduce location centric profiles (LCPs), aggregates builtover the profiles of users present at a given location. We introduce PROFILR, asuite of mechanisms that construct LCPs in a private and correct manner. Weintroduce iSafe, a novel, context aware public safety application built onPROFILR . Our Android and browser plugin implementations show that PROFILR isefficient: the end-to-end overhead is small even under strong correctnessassurances.

Eat the Cake and Have It Too: Privacy Preserving Location Aggregates in Geosocial Networks