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.
|
Modifier and Type | Class and Description |
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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.
|