Differential Privacy

Short answer

Differential privacy is a mathematical technique that adds calibrated statistical noise to data or query results so aggregate insights can be shared without revealing whether any individual's information is included. It provides a measurable privacy guarantee and is used in clean rooms, analytics products and official statistics.