= Differential privacy
{wiki=Differential_privacy}
Differential privacy is a mathematical framework designed to provide a rigorous privacy guarantee when sharing or analyzing data that may contain sensitive information about individuals. The primary goal of differential privacy is to enable the release of useful statistical information while ensuring that the privacy of individual data points is preserved. The core idea is to ensure that the outcome of a data analysis (like a query or a statistical result) does not significantly change when any single individual's data is added or removed from the dataset.
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