# Uses of Package
org.deidentifier.arx.criteria

Packages that use org.deidentifier.arx.criteria
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.
org.deidentifier.arx.gui.model

Classes in org.deidentifier.arx.criteria used by org.deidentifier.arx
Class and Description
PrivacyCriterion An abstract base class for privacy criteria.
SampleBasedCriterion An abstract base class for sample-based privacy criteria.

Classes in org.deidentifier.arx.criteria used by org.deidentifier.arx.criteria
Class and Description
AverageReidentificationRisk This criterion ensures that an estimate for the average re-identification risk falls below a given threshold.
BasicBLikeness Basic-beta-Likeness: Jianneng Cao, Panagiotis Karras: Publishing Microdata with a Robust Privacy Guarantee VLDB 2012.
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
DistinctLDiversity The distinct l-diversity privacy criterion.
DPresence The d-presence criterion Published in: Nergiz M, Atzori M, Clifton C.
EDDifferentialPrivacy (e,d)-Differential Privacy implemented with SafePub as proposed in: Bild R, Kuhn KA, Prasser F.
EnhancedBLikeness Enhanced-beta-Likeness: Jianneng Cao, Panagiotis Karras: Publishing Microdata with a Robust Privacy Guarantee VLDB 2012.
EntropyLDiversity The entropy l-diversity privacy model.
EntropyLDiversity.EntropyEstimator Enumerator of entropy estimators for the entropy-l-diversity privacy model.
EqualDistanceTCloseness The t-closeness criterion with equal-distance EMD.
ExplicitPrivacyCriterion A privacy criterion that is explicitly bound to a sensitive attribute.
HierarchicalDistanceTCloseness The t-closeness criterion with hierarchical-distance EMD.
ImplicitPrivacyCriterion A privacy criterion that is implicitly bound to the quasi-identifiers.
KAnonymity The k-anonymity criterion Published in: Sweeney L.
KMap This class implements the k-map privacy model as proposed by Latanya Sweeney.
KMap.CellSizeEstimator Estimators for cell sizes in the population.
LDiversity An abstract base class for l-diversity criteria Published in: Machanavajjhala A, Kifer D, Gehrke J.
OrderedDistanceTCloseness The t-closeness criterion for ordered attributes.
PopulationUniqueness This criterion ensures that the population uniqueness falls below a given threshold.
PrivacyCriterion An abstract base class for privacy criteria.
ProfitabilityJournalist Privacy model for the game theoretic approach proposed in: A Game Theoretic Framework for Analyzing Re-Identification Risk.
ProfitabilityProsecutor Privacy model for the game theoretic approach proposed in: A Game Theoretic Framework for Analyzing Re-Identification Risk.
ProfitabilityProsecutorNoAttack Privacy model for the "no-attack" variant of the game theoretic approach proposed in: A Game Theoretic Framework for Analyzing Re-Identification Risk.
RecursiveCLDiversity The recursive-(c,l)-diversity criterion.
RiskBasedCriterion Abstract class for criteria that ensure that a certain risk measure is lower than or equal to a given threshold
SampleBasedCriterion An abstract base class for sample-based privacy criteria.
SampleUniqueness This criterion ensures that the sample uniqueness falls below a given threshold.
TCloseness An abstract base class for t-closeness criteria as proposed in: Li N, Li T, Venkatasubramanian S.

Classes in org.deidentifier.arx.criteria used by org.deidentifier.arx.gui.model
Class and Description
KMap.CellSizeEstimator Estimators for cell sizes in the population.
PrivacyCriterion An abstract base class for privacy criteria.