All terms
Data
Differential Privacy
A privacy method that limits how much any single individual's data affects the result.
Definition
Differential privacy is a mathematical framework that limits how much any single individual's data can influence the output of a computation, usually by adding carefully calibrated noise. This bounds what an observer can infer about any one person while still allowing useful aggregate statistics or models to be learned. A tunable privacy budget controls the tradeoff between strength of protection and accuracy of the result.