public sealed class PrivacyMetric.Types.DeltaPresenceEstimationConfig : IMessage<PrivacyMetric.Types.DeltaPresenceEstimationConfig>, IEquatable<PrivacyMetric.Types.DeltaPresenceEstimationConfig>, IDeepCloneable<PrivacyMetric.Types.DeltaPresenceEstimationConfig>, IBufferMessage, IMessage
Reference documentation and code samples for the Google Cloud Data Loss Prevention v2 API class PrivacyMetric.Types.DeltaPresenceEstimationConfig.
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.
public RepeatedField<StatisticalTable> AuxiliaryTables { get; }
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.
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.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-07 UTC."],[[["\u003cp\u003eThe latest version available for \u003ccode\u003ePrivacyMetric.Types.DeltaPresenceEstimationConfig\u003c/code\u003e in the Google Cloud Data Loss Prevention v2 API is version 4.16.0, with older versions ranging back to 2.15.0.\u003c/p\u003e\n"],["\u003cp\u003e\u003ccode\u003ePrivacyMetric.Types.DeltaPresenceEstimationConfig\u003c/code\u003e is a class within the Google Cloud DLP v2 API used to estimate the likelihood of an individual being identified in a de-identified dataset, employing a statistical model similar to the k-map metric.\u003c/p\u003e\n"],["\u003cp\u003eThis class inherits from \u003ccode\u003eobject\u003c/code\u003e and implements interfaces such as \u003ccode\u003eIMessage\u003c/code\u003e, \u003ccode\u003eIEquatable\u003c/code\u003e, \u003ccode\u003eIDeepCloneable\u003c/code\u003e, and \u003ccode\u003eIBufferMessage\u003c/code\u003e, and offers constructors to create instances either as new objects or by copying existing ones.\u003c/p\u003e\n"],["\u003cp\u003eKey properties of the \u003ccode\u003eDeltaPresenceEstimationConfig\u003c/code\u003e class include \u003ccode\u003eAuxiliaryTables\u003c/code\u003e, which can utilize multiple auxiliary tables, \u003ccode\u003eQuasiIds\u003c/code\u003e, defining fields considered as quasi-identifiers, and \u003ccode\u003eRegionCode\u003c/code\u003e, which is an ISO region code used for statistical modeling.\u003c/p\u003e\n"],["\u003cp\u003eThe purpose of this class is to provide a method for calculating a δ-presence metric, offering a statistical evaluation in scenarios where exact computation is not possible without access to the attacker's dataset.\u003c/p\u003e\n"]]],[],null,[]]
