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
MutableSequence[google.cloud.dlp_v2.types.QuasiId]
Required. Fields considered to be
quasi-identifiers. 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
MutableSequence[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.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2026-03-30 UTC."],[],[]]