Class PrivacyMetric.KMapEstimationConfig.Builder

  • All Implemented Interfaces:
    PrivacyMetric.KMapEstimationConfigOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
    Enclosing class:
    PrivacyMetric.KMapEstimationConfig

    public static final class PrivacyMetric.KMapEstimationConfig.Builder
    extends com.google.protobuf.GeneratedMessageV3.Builder<PrivacyMetric.KMapEstimationConfig.Builder>
    implements PrivacyMetric.KMapEstimationConfigOrBuilder
     Reidentifiability metric. This corresponds to a risk model similar to what
     is called "journalist risk" in the literature, except the attack dataset is
     statistically modeled instead of being perfectly known. This can be done
     using publicly available data (like the US Census), or using a custom
     statistical model (indicated as one or several BigQuery tables), or by
     extrapolating from the distribution of values in the input dataset.
     
    Protobuf type google.privacy.dlp.v2.PrivacyMetric.KMapEstimationConfig