DataPrivacyScores - AWS Clean Rooms ML

DataPrivacyScores

Privacy evaluation scores that measure the privacy characteristics of the generated synthetic data, including assessments of potential privacy risks such as membership inference attacks.

Contents

membershipInferenceAttackScores

Scores that evaluate the vulnerability of the synthetic data to membership inference attacks, which attempt to determine whether a specific individual was a member of the original dataset.

Type: Array of MembershipInferenceAttackScore objects

Array Members: Fixed number of 1 item.

Required: Yes

See Also

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