Package | Description |
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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.
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org.deidentifier.arx.framework.check.groupify |
This package implements different hash-groupify operators.
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Modifier and Type | Method and Description |
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abstract void |
SampleBasedCriterion.enforce(HashGroupifyDistribution distribution,
int numMaxSuppressedOutliers)
This method enforces the criterion on the current hash table.
|
void |
RiskBasedCriterion.enforce(HashGroupifyDistribution distribution,
int numMaxSuppressedOutliers) |
protected boolean |
SampleUniqueness.isFulfilled(HashGroupifyDistribution distribution) |
protected abstract boolean |
RiskBasedCriterion.isFulfilled(HashGroupifyDistribution distribution)
To be implemented by risk-based criteria
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protected boolean |
PopulationUniqueness.isFulfilled(HashGroupifyDistribution distribution)
We currently assume that at any time, at least one statistical model converges.
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protected boolean |
AverageReidentificationRisk.isFulfilled(HashGroupifyDistribution distribution) |
Modifier and Type | Method and Description |
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HashGroupifyDistribution.PrivacyCondition.State |
HashGroupifyDistribution.PrivacyCondition.isFulfilled(HashGroupifyDistribution distribution)
Evaluates the condition on the given distribution
|