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This is a Quantitative Study study.

October 2, 2025Open Access

Interpreting Differential Privacy in Terms of Disclosure Risk

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Relationships between differential privacy and statistical disclosure risk are identified, indicating crucial privacy insights.
The analysis elucidates how to interpret DP composition theorems effectively, highlighting their practical applications.
Guidelines are provided for selecting and justifying privacy parameters in different scenarios related to data protection.
Expert and non-expert audiences can leverage these findings to improve their understanding of privacy guarantees.

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This analysis demonstrates relationships between differential privacy and disclosure risk metrics, suggesting implications for parameter selection.

Kazan et al. (2025) studied this question.

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This analysis demonstrates relationships between differential privacy and disclosure risk metrics, suggesting implications for parameter selection.