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Differential Privacy Algorithms

Meaning

A rigorous, mathematically-defined framework for ensuring that the outcome of a statistical analysis on a dataset is virtually identical whether or not any single individual’s data is included. These algorithms add a controlled amount of calibrated random noise to query results or the data itself, providing a strong, quantifiable guarantee against re-identification. They represent the gold standard for protecting patient confidentiality in shared research environments.