Differential privacy — Differential privacy is a mathematical technique that lets organizations learn patterns from data while protecting individuals in it. It adds carefully measured noise so no single person’s information can be identified. Tech companies and the US Census Bureau use it. It allows useful analysis with strong privacy guarantees.

Added October 21, 2026