[Коллоквиум]: k-Anonymization by Freeform Generalization

Speaker: Panagiotis Karras - Skoltech Syntactic data anonymization strives to (i) ensure that an adversary cannot identify an individual’s record from published record attributes with high probability, and (ii) preserve data utility. These mutually conflicting goals can be expressed as an optimization problem with privacy as the constraint and utility as the objective function. Conventional research on k-anonymity, a popular privacy model, has resorted to generalizing data values in homogeneous groups. How