fdp1.0.0 package

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.

  • Maintainer: Louis Aslett
  • License: GPL (>= 3)
  • Last published: 2025-11-04