fdp: f-Differential Privacy and Gaussian Differential Privacy

Constructs and visualises trade-off functions for f-differential privacy (f-DP) as introduced by Dong et al. (2022) <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.

Version: 1.0.0
Depends: R (≥ 4.1.0)
Imports: cli, ggplot2, rlang
Published: 2025-11-04
DOI: 10.32614/CRAN.package.fdp (may not be active yet)
Author: Louis Aslett ORCID iD [aut, cre, cph]
Maintainer: Louis Aslett <louis.aslett at durham.ac.uk>
BugReports: https://github.com/louisaslett/fdp/issues
License: GPL (≥ 3)
URL: https://fdp.louisaslett.com/
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: fdp results

Documentation:

Reference manual: fdp.html , fdp.pdf

Downloads:

Package source: fdp_1.0.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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