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.
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