MembershipInferenceAttackScore - AWS Clean Rooms ML

MembershipInferenceAttackScore

A score that measures the vulnerability of synthetic data to membership inference attacks and provides both the numerical score and the version of the attack methodology used for evaluation.

Contents

attackVersion

The version of the membership inference attack, which consists of the attack type and its version number, used to generate this privacy score.

Type: String

Valid Values: DISTANCE_TO_CLOSEST_RECORD_V1

Required: Yes

score

The numerical score representing the vulnerability to membership inference attacks.

Type: Double

Valid Range: Minimum value of 0.0. Maximum value of 1.0.

Required: Yes

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: