Differential Privacy Via T-Closeness in Data Publishing

Provided by: Universitat Rostock
Topic: Data Management
Format: PDF
k-Anonymity and \"Differential privacy is two mainstream privacy models originated within the computer science community. Their approaches towards disclosure limitation are quite different: k-anonymity is a model for releases of microdata (i.e. individual records) that seeks to prevent record re-identification by hiding each original record within a group of k indistinguishable anonymized records, while \"Differential privacy originated as a model for interactive databases and seeks to limit the knowledge that users obtain from query responses. Both models are often presented as antagonistic: \"Differential privacy supporters view k-anonymity as an old fashioned privacy notion that offers only poor disclosure limitation guarantees, while \"Differential privacy detractors criticize the limited utility of \"Differentially private outputs and the cumbersomeness of not having access to the data set.

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