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Approximation algorithms for k-anonymity and privacy preservation in query logs

Approximation algorithms for k-anonymity and privacy preservation in query logs

This video was recorded at NATO Advanced Study Institute on Mining Massive Data Sets for Security. The talk (i) reviews a number of topics related to the concept of kanonymity, (ii) discusses two information-theoretic measures for capturing the amount of information that is lost during the anonymization process, (iii) presents approximation algorithms for the k-anonymization problem and (iv) discusses topics of privacy preservation on query logs.

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