NIST Finalizes Guidelines for Evaluating “Differential Privacy” Guarantees to De-identify Data

How can we glean useful insights from databases containing confidential information while protecting the privacy of the individuals whose data is contained within? Differential privacy, a way of defining privacy in a mathematically rigorous manner, can help strike this balance. Newly updated guidelines from the National Institute of Standards and Technology (NIST) are intended to assist organizations with making the most of differential privacy’s capabilities.