Google
data class GooglePrivacyDlpV2DeltaPresenceEstimationConfigArgs(val auxiliaryTables: Output<List<GooglePrivacyDlpV2StatisticalTableArgs>>? = null, val quasiIds: Output<List<GooglePrivacyDlpV2QuasiIdArgs>>, val regionCode: Output<String>? = null) : ConvertibleToJava<GooglePrivacyDlpV2DeltaPresenceEstimationConfigArgs>
δ-presence metric, used to estimate how likely it is for an attacker to figure out that one given individual appears in a de-identified dataset. Similarly to the k-map metric, we cannot compute δ-presence exactly without knowing the attack dataset, so we use a statistical model instead.
Constructors
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constructor(auxiliaryTables: Output<List<GooglePrivacyDlpV2StatisticalTableArgs>>? = null, quasiIds: Output<List<GooglePrivacyDlpV2QuasiIdArgs>>, regionCode: Output<String>? = null)
Properties
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Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers field must appear in exactly one field of one auxiliary table.
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Fields considered to be quasi-identifiers. No two fields can have the same tag.
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ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.