Class DeltaPresenceEstimationConfig (3.5.0)

Version 3.5.0

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DeltaPresenceEstimationConfig(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

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.

Attributes
Name	Description
quasi_ids	Sequence[google.cloud.dlp_v2.types.QuasiId] Required. Fields considered to be quasi- dentifiers. No two fields can have the same tag.
region_code	str 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.
auxiliary_tables	Sequence[google.cloud.dlp_v2.types.StatisticalTable] 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.