Privacy
Differential Privacy
A mathematical framework for ensuring individual data cannot be inferred from query results.
Differential privacy adds calibrated noise to query results, ensuring the output doesn't reveal whether any specific individual was in the dataset. Used by Apple, Google, and the US Census. Important for analytics on user data.