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About: Differential privacy     Goto   Sponge   NotDistinct   Permalink

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Differential privacy (DP) is a system for publicly sharing information about a dataset by describing the patterns of groups within the dataset while withholding information about individuals in the dataset.The idea behind differential privacy is that if the effect of making an arbitrary single substitution in the database is small enough, the query result cannot be used to infer much about any single individual, and therefore provides privacy. Differential privacy was developed by cryptographers and thus is often associated with cryptography, and draws much of its language from cryptography.