Verwendungen von Klasse
org.deidentifier.arx.criteria.ImplicitPrivacyCriterion

Packages, die ImplicitPrivacyCriterion verwenden

Package	Beschreibung
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.

Verwendungen von ImplicitPrivacyCriterion in org.deidentifier.arx.criteria

Unterklassen von ImplicitPrivacyCriterion in org.deidentifier.arx.criteria

Modifizierer und Typ	Klasse	Beschreibung
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. 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.