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 
[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): 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:
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