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• W3199765715 abstract "The Gaussian mechanism (GM) represents a universally employed tool for achieving differential privacy (DP), and a large body of work has been devoted to its analysis. We argue that the three prevailing interpretations of the GM, namely epsilon/delta-DP, f-DP and Rényi DP can be expressed by using a single parameter psi, which we term the sensitivity index. Psi uniquely characterises the GM and its properties by encapsulating its two fundamental quantities: the sensitivity of the query and the magnitude of the noise perturbation. With strong links to the ROC curve and the hypothesis-testing interpretation of DP, psi offers the practitioner a powerful method for interpreting, comparing and communicating the privacy guarantees of Gaussian mechanisms." @default.
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• W3199765715 date "2022-07-29" @default.
• W3199765715 modified "2023-09-27" @default.
• W3199765715 title "Unified Interpretation of the Gaussian Mechanism for Differential Privacy Through the Sensitivity Index" @default.
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• W3199765715 doi "https://doi.org/10.29012/jpc.807" @default.
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