What you'll learn
- Judge when differentially private synthetic data is good enough to share
- Test synthetic data for usefulness against the real dataset
- Test synthetic data for leakage before it leaves your organisation
Who it's for
Data protection officers, compliance leads, CTOs, CISOs, data engineers, health ministry teams and researchers who hold or publish patient data.
Hands-on
Generate a small synthetic dataset and check what it preserves and what it loses.
How the session runs
35 minutes of teaching, a 15-minute hands-on demonstration, then 10 minutes of questions. No programming is needed to follow along; technical attendees can run the optional notebook afterwards.
Part of the Data Privacy & AI pillar