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fdp  

f-Differential Privacy and Gaussian Differential Privacy
View on CRAN: Click here


Download and install fdp package within the R console
Install from CRAN:
install.packages("fdp")

Install from Github:
library("remotes")
install_github("cran/fdp")

Install by package version:
library("remotes")
install_version("fdp", "1.0.0")



Attach the package and use:
library("fdp")
Maintained by
Louis Aslett
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-11-04
Latest Update: 2025-11-04
Description:
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.
How to cite:
Louis Aslett (2025). fdp: f-Differential Privacy and Gaussian Differential Privacy. R package version 1.0.0, https://cran.r-project.org/web/packages/fdp. Accessed 03 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited fdp R package
View fdp citation profile
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Complete documentation for fdp
Functions, R codes and Examples using the fdp R package
Full fdp package functions and examples
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