Expand description
Privacy evaluation module.
Provides empirical privacy assessments for synthetic data including:
- Membership Inference Attack (MIA): Distance-based classifier to detect training data leakage
- Linkage Attack: Quasi-identifier-based re-identification risk assessment
- NIST SP 800-226 Alignment: Self-assessment against NIST criteria for de-identification
- SynQP Matrix: Quality-privacy quadrant evaluation
Re-exports§
pub use linkage::LinkageAttack;pub use linkage::LinkageConfig;pub use linkage::LinkageResults;pub use membership_inference::MembershipInferenceAttack;pub use membership_inference::MiaConfig;pub use membership_inference::MiaResults;pub use metrics::NistAlignmentReport;pub use metrics::NistCriterion;pub use metrics::SynQPMatrix;pub use metrics::SynQPQuadrant;
Modules§
- linkage
- Linkage Attack Assessment.
- membership_
inference - Membership Inference Attack (MIA) testing.
- metrics
- Privacy metrics: NIST SP 800-226 alignment and SynQP quality-privacy matrix.
Structs§
- Privacy
Evaluation - Combined privacy evaluation results.