# Uses of Class org.deidentifier.arx.criteria.ImplicitPrivacyCriterion (ARX GUI Documentation)

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

- Packages that use ImplicitPrivacyCriterion
  Package | Description
  --- | ---
  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
    Modifier and Type | Class and Description
    --- | ---
    `class` | `DPresence` The d-presence criterion Published in: Nergiz M, Atzori M, Clifton C.
    `class` | `EDDifferentialPrivacy` (e,d)-Differential Privacy implemented with (k,b)-SDGS as proposed in: Ninghui Li, Wahbeh H.
    `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. As an alternative to explicitly providing data about the underlying population, cell sizes can be can be estimated with the D3 (Poisson) and D4 (zero-truncated Poisson) estimators proposed in: K.
    `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.