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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling source/ R- | fdp_1.0.0.tar.gz |
206.3 KiB |
1.0.0 |
latest source/ R- | fdp_1.0.0.tar.gz |
206.3 KiB |
1.0.0 |
2026-04-23 source/ R- | fdp_1.0.0.tar.gz |
206.3 KiB |
1.0.0 |
2026-04-09 windows/windows R-4.5 | fdp_1.0.0.zip |
279.9 KiB |