google_api_dlp

v0.9.0

google_api_dlp v0.9.0 GoogleApi.DLP.V2.Model.GooglePrivacyDlpV2DeltaPresenceEstimationConfig View Source

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

  • auxiliaryTables ([GooglePrivacyDlpV2StatisticalTable]): 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. Defaults to: null.
  • quasiIds ([GooglePrivacyDlpV2QuasiId]): Fields considered to be quasi-identifiers. No two fields can have the same tag. [required] Defaults to: null.
  • regionCode (String.t): ISO 3166-1 alpha-2 region code to use in the statistical modeling. Required if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code. Defaults to: null.

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Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

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t() View Source 
t() :: %GoogleApi.DLP.V2.Model.GooglePrivacyDlpV2DeltaPresenceEstimationConfig{
  auxiliaryTables: [
    GoogleApi.DLP.V2.Model.GooglePrivacyDlpV2StatisticalTable.t()
  ],
  quasiIds: [GoogleApi.DLP.V2.Model.GooglePrivacyDlpV2QuasiId.t()],
  regionCode: any()
}

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Link to this function

decode(value, options) View Source 
decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.