Movatterモバイル変換


[0]ホーム

URL:


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
Author:Louis AslettORCID 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:fdp_1.0.0.zip, r-release:fdp_1.0.0.zip, r-oldrel:fdp_1.0.0.zip
macOS binaries: r-release (arm64):fdp_1.0.0.tgz, r-oldrel (arm64):fdp_1.0.0.tgz, r-release (x86_64):fdp_1.0.0.tgz, r-oldrel (x86_64):fdp_1.0.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=fdpto link to this page.


[8]ページ先頭

©2009-2025 Movatter.jp