A implementation of Privacy Buckets: A numerical tool to calculate privacy loss
Implementaion for the publication S. Meiser, E. Mohammadi, "Tight on Budget? Tight Bounds for r-Fold Approximate Differential Privacy", Proceedings of the 25th ACM Conference on Computer and Communications Security (CCS), 2018
On ePrint: https://eprint.iacr.org/2017/1034.pdf
For how to use, see example.py.
The privacy web-page is built on top of the python web framework django and can be started from the directory "privacy_webpage/webpage" with the command "python3 manage.py runserver"