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

Packages, die PrivacyCriterion verwenden

Package	Beschreibung
org.deidentifier.arx	This package provides the public API for the ARX anonymization framework.
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 PrivacyCriterion in org.deidentifier.arx

Methoden in org.deidentifier.arx mit Typparametern vom Typ PrivacyCriterion

Modifizierer und Typ	Methode	Beschreibung
<T extends PrivacyCriterion> T	ARXConfiguration.ARXConfigurationInternal.getPrivacyModel(Class<T> clazz)
<T extends PrivacyCriterion> T	ARXConfiguration.getPrivacyModel(Class<T> clazz)	Returns an instance of the class, if any.
<T extends PrivacyCriterion> Set<T>	ARXConfiguration.getPrivacyModels(Class<T> clazz)	Returns all privacy models which are instances of the given class.
<T extends PrivacyCriterion> boolean	ARXConfiguration.removeCriterion(PrivacyCriterion arg)	Removes the given criterion.

Methoden in org.deidentifier.arx, die PrivacyCriterion zurückgeben

Modifizierer und Typ	Methode	Beschreibung
PrivacyCriterion[]	ARXConfiguration.ARXConfigurationInternal.getClassBasedPrivacyModelsAsArray()	Returns all class-based criteria (except k-anonymity) as an array.

Methoden in org.deidentifier.arx, die Typen mit Argumenten vom Typ PrivacyCriterion zurückgeben

Modifizierer und Typ	Methode	Beschreibung
Set<PrivacyCriterion>	ARXConfiguration.ARXConfigurationInternal.getPrivacyModels()	Returns all criteria.
Set<PrivacyCriterion>	ARXConfiguration.getPrivacyModels()	Returns all privacy models.

Methoden in org.deidentifier.arx mit Parametern vom Typ PrivacyCriterion

Modifizierer und Typ	Methode	Beschreibung
ARXConfiguration	ARXConfiguration.addPrivacyModel(PrivacyCriterion c)	Adds a privacy model to the configuration.
<T extends PrivacyCriterion> boolean	ARXConfiguration.removeCriterion(PrivacyCriterion arg)	Removes the given criterion.

Methodenparameter in org.deidentifier.arx mit Typargumenten vom Typ PrivacyCriterion

Modifizierer und Typ	Methode	Beschreibung
boolean	ARXConfiguration.ARXConfigurationInternal.isPrivacyModelSpecified(Class<? extends PrivacyCriterion> clazz)
boolean	ARXConfiguration.isPrivacyModelSpecified(Class<? extends PrivacyCriterion> clazz)	Returns whether the configuration contains a privacy model which is an instance of the given class.

Verwendungen von PrivacyCriterion in org.deidentifier.arx.criteria

Unterklassen von PrivacyCriterion in org.deidentifier.arx.criteria

Modifizierer und Typ	Klasse	Beschreibung
class	AverageReidentificationRisk	This criterion ensures that an estimate for the average re-identification risk falls below a given threshold.
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	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	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	ExplicitPrivacyCriterion	A privacy criterion that is explicitly bound to a sensitive attribute.
class	HierarchicalDistanceTCloseness	The t-closeness criterion with hierarchical-distance EMD.
class	ImplicitPrivacyCriterion	A privacy criterion that is implicitly bound to the quasi-identifiers.
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	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	PopulationUniqueness	This criterion ensures that the population uniqueness falls below a given threshold.
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.
class	RecursiveCLDiversity	The recursive-(c,l)-diversity criterion.
class	RiskBasedCriterion	Abstract class for criteria that ensure that a certain risk measure is lower than or equal to a given threshold
class	SampleBasedCriterion	An abstract base class for sample-based privacy criteria.
class	SampleUniqueness	This criterion ensures that the sample uniqueness falls below a given threshold.
class	TCloseness	An abstract base class for t-closeness criteria as proposed in: Li N, Li T, Venkatasubramanian S.

Methoden in org.deidentifier.arx.criteria, die PrivacyCriterion zurückgeben

Modifizierer und Typ	Methode	Beschreibung
PrivacyCriterion	Inclusion.clone(DataSubset subset)
PrivacyCriterion	KMap.clone(DataSubset subset)
abstract PrivacyCriterion	PrivacyCriterion.clone()	Clone
PrivacyCriterion	PrivacyCriterion.clone(DataSubset subset)	Clone for local recoding
PrivacyCriterion	ProfitabilityJournalist.clone(DataSubset subset)
PrivacyCriterion	ProfitabilityJournalistNoAttack.clone()
PrivacyCriterion	ProfitabilityJournalistNoAttack.clone(DataSubset subset)
PrivacyCriterion	ProfitabilityProsecutor.clone(DataSubset subset)
PrivacyCriterion	ProfitabilityProsecutorNoAttack.clone()
PrivacyCriterion	ProfitabilityProsecutorNoAttack.clone(DataSubset subset)