Differential Privacy

Differential privacy provides formal guarantees about the maximum amount of information that can be learned about any individual from the output of a computation. It works by adding carefully calibrated noise to results with the noise level controlled by a privacy budget (epsilon). This enables statistical analysis while protecting individual privacy.

Census data analysis Medical research databases Location-based services Personalized recommendation systems