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Get Preventing Equivalence Attacks In Updatedanonymized Data Yeye He Siddharth Barman Jeffrey F

Du Abstract In comparison to the extensive body of existing work considering publish-once, static anonymization, dynamic anonymization is less well studied. Previous work, most notably -invariance, has made considerable progress in devising a scheme that attempts to prevent individual records from being associated with too few sensitive values. We show, however, that in the presence of updates, even an -invariant table can be exploited by a new type of attack we call the equivalenc.

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