NIST is pleased to announce the release of NIST Special Publication (SP) 800-226: Guidelines for Evaluating Differential Privacy Guarantees! This publication focuses on differential privacy, a privacy-enhancing technology that quantifies privacy risk to individuals when their information appears in a dataset.
NIST SP 800-226 is intended to help agencies and practitioners of all backgrounds—policy makers, business owners, product managers, IT technicians, software engineers, data scientists, researchers, and academics—better understand how to evaluate promises made (and not made) when deploying differential privacy. This includes differential privacy for privacy-preserving machine learning.
NIST has also included a supplemental package of Python Jupyter notebooks that illustrate how to achieve differential privacy and other concepts described in the publication.
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