Metadata-Version: 2.1
Name: pld-accountant
Version: 0.12.1
Summary: Fourier Accountant for Differential Privacy 
Home-page: https://github.com/DPBayes/PLD-Accountant
Author: Antti Koskela
Author-email: anttik123@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: numpy

# Fourier Accountant

MIGRATED TO `fourier-accountant` - any new releases will go there

Python code for computing tight DP-guarantees for the subsampled Gaussian mechanism.

The method is described in:

Antti Koskela, Joonas Jälkö, Antti Honkela:
Computing Tight Differential Privacy Guarantees Using FFT

https://arxiv.org/abs/1906.03049



