## Uses of Class
org.deidentifier.arx.criteria.ExplicitPrivacyCriterion

Packages that use ExplicitPrivacyCriterion
org.deidentifier.arx.criteria: This package implements different variants of class-based privacy criteria, such as k-anonymity, l-diversity, t-closeness and d-presence.

### Uses of ExplicitPrivacyCriterion in org.deidentifier.arx.criteria

Subclasses of ExplicitPrivacyCriterion in org.deidentifier.arx.criteria
`class` `BasicBLikeness` Basic-beta-Likeness: Jianneng Cao, Panagiotis Karras: Publishing Microdata with a Robust Privacy Guarantee VLDB 2012.
`class` `DDisclosurePrivacy` Delta-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 2008
`class` `DistinctLDiversity` The distinct l-diversity privacy criterion.
`class` `EnhancedBLikeness` Enhanced-beta-Likeness: Jianneng Cao, Panagiotis Karras: Publishing Microdata with a Robust Privacy Guarantee VLDB 2012.
`class` `EntropyLDiversity` The entropy l-diversity privacy model.
`class` `EqualDistanceTCloseness` The t-closeness criterion with equal-distance EMD.
`class` `HierarchicalDistanceTCloseness` The t-closeness criterion with hierarchical-distance EMD.
`class` `LDiversity` An abstract base class for l-diversity criteria Published in: Machanavajjhala A, Kifer D, Gehrke J.
`class` `OrderedDistanceTCloseness` The t-closeness criterion for ordered attributes.
`class` `RecursiveCLDiversity` The recursive-(c,l)-diversity criterion.
`class` `TCloseness` An abstract base class for t-closeness criteria as proposed in: Li N, Li T, Venkatasubramanian S.