Differential Privacy
A practical introduction to sharing data with provable privacy guarantees, with pointers to our 2023 work on tooling, benchmarking, and cloud deployment.
Chapters
Section titled “Chapters”1. Introduction & Core ConceptsWhy differential privacy matters, how it works, epsilon, composition, and the privacy budget.
2. Applying Differential PrivacyWorked examples, real-world use cases, and supported applications.
3. Tools, Performance & DeploymentComparing, benchmarking, and deploying open-source DP tools at scale.
AppendixConclusion, reference definitions, tools, code, and recommended reading.