Verwendungen von Klasse
org.deidentifier.arx.criteria.ExplicitPrivacyCriterion
Packages, die ExplicitPrivacyCriterion verwenden
Package
Beschreibung
This package implements different variants of class-based privacy criteria,
such as k-anonymity, l-diversity, t-closeness and d-presence.
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Verwendungen von ExplicitPrivacyCriterion in org.deidentifier.arx.criteria
Unterklassen von ExplicitPrivacyCriterion in org.deidentifier.arx.criteriaModifizierer und TypKlasseBeschreibungclassBasic-beta-Likeness:
Jianneng Cao, Panagiotis Karras:
Publishing Microdata with a Robust Privacy Guarantee
VLDB 2012.classDelta-disclosure privacy as proposed in:
Justin Brickell and Vitaly Shmatikov:
The Cost of Privacy: Destruction of Data-mining Utility in Anonymized Data Publishing
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
2008classThe distinct l-diversity privacy criterion.classEnhanced-beta-Likeness:
Jianneng Cao, Panagiotis Karras:
Publishing Microdata with a Robust Privacy Guarantee
VLDB 2012.classThe entropy l-diversity privacy model.classThe t-closeness criterion with equal-distance EMD.classThe t-closeness criterion with hierarchical-distance EMD.classAn abstract base class for l-diversity criteria Published in: Machanavajjhala A, Kifer D, Gehrke J.classThe t-closeness criterion for ordered attributes.classThe recursive-(c,l)-diversity criterion.classAn abstract base class for t-closeness criteria as proposed in: Li N, Li T, Venkatasubramanian S.