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Report - Belfer Center for Science and International Affairs, Harvard Kennedy School

Technology Factsheet: Differential Privacy

| Fall 2020

Differential privacy is a safeguard used to protect an individual’s data privacy. It allows for the collection and publication of data patterns and trends, while protecting the privacy of individuals captured in a dataset. Differential privacy is not a tool or method, but rather a criterion or a property that multiple methods can achieve. More specifically, it is a mathematical definition of privacy that quantifies privacy risk.