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

Packages that use ImplicitPrivacyCriterion
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 ImplicitPrivacyCriterion in org.deidentifier.arx.criteria

Subclasses of ImplicitPrivacyCriterion in org.deidentifier.arx.criteria
`class` `DPresence` The d-presence criterion Published in: Nergiz M, Atzori M, Clifton C.
`class` `EDDifferentialPrivacy` (e,d)-Differential Privacy implemented with SafePub as proposed in: Bild R, Kuhn KA, Prasser F.
`class` `Inclusion` This is a special criterion that does not enforce any privacy guarantees but allows to define a data subset.
`class` `KAnonymity` The k-anonymity criterion Published in: Sweeney L.
`class` `KMap` This class implements the k-map privacy model as proposed by Latanya Sweeney.
`class` `ProfitabilityJournalist` Privacy model for the game theoretic approach proposed in: A Game Theoretic Framework for Analyzing Re-Identification Risk.
`class` `ProfitabilityJournalistNoAttack` Privacy model for the "no-attack" variant of the game theoretic approach proposed in: A Game Theoretic Framework for Analyzing Re-Identification Risk.
`class` `ProfitabilityProsecutor` Privacy model for the game theoretic approach proposed in: A Game Theoretic Framework for Analyzing Re-Identification Risk.
`class` `ProfitabilityProsecutorNoAttack` Privacy model for the "no-attack" variant of the game theoretic approach proposed in: A Game Theoretic Framework for Analyzing Re-Identification Risk.