A practical primer, checklist, and assessment templates to compare synthetic data, anonymization and differential privacy approaches and their trade-offs for safe sharing and model training.
Interactive checklist and evaluation form to determine whether synthetic or other privacy-preserving approaches are appropriate, document selected privacy metrics, capture empirical utility tests, and record governance, release controls, and known limitations.
An interactive decision and risk-assessment template teams can use to decide when synthetic data or other privacy-preserving techniques are appropriate, document trade-offs, record validation tasks, and produce an actionable implementation and monitoring plan.
Interactive assessment to evaluate privacy risk, analytic fidelity, operational needs, and decision trade-offs when choosing synthetic data, anonymization, or hybrid approaches.