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fdp (version 1.0.0)

fdp-package: fdp: f-Differential Privacy and Gaussian Differential Privacy

Description

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Constructs and visualises trade-off functions for f-differential privacy (f-DP) as introduced by Dong et al. (2022) tools:::Rd_expr_doi("10.1111/rssb.12454"). Supports Gaussian differential privacy, the f-DP generalisation of (epsilon, delta)-differential privacy, and accepts user-specified optimal type I / type II errors from which the lower convex hull trade-off function is automatically constructed.

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Author

Maintainer: Louis Aslett louis.aslett@durham.ac.uk (ORCID) [copyright holder]

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