The OpenDP Cookbook

The OpenDP Cookbook is a collection of recipes for the OpenDP Library, contributed by the user community.

This is lightly curated: We check that the recipes run with the latest version of OpenDP, but there are many different ways to cook with OpenDP, and in some cases there may be fresher APIs that provide better results.

🥗 Starters

Just starting with differential privacy, or OpenDP? To whet your appetite, these recipes provide ideas about what DP can do, and can also help you think about whether DP and OpenDP are the best approach to your problem.

• 🥗 Starters
  • Effects of dataset height and width on DP sums
  • Hello World

🍝 Main courses

Full examples of analysis with OpenDP in the real world.

• 🍝 Main courses
  • DP Statistics for grade grouped by class_year_str

🍰 Desserts

If you haven’t gotten enough DP, these recipes are more complex or theory-oriented.

• 🍰 Desserts
  • Accuracy: Pitfalls and Edge Cases
  • Quantiles with the Exponential Mechanism
  • Attacks

📬 Send us your recipes!

Have you done something nifty with OpenDP? Contribute your recipe!