Anonymity by Indistinguishability

The family of anonymity by indistinguishability models is based on comparison among individuals present in data, and it aims to make each individual so similar as to be indistinguishable from others. They aims to produce anonymity sets, i.e., equivalence classes, having specific properties.

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