differential-privacy 0.1.0

A library that contains differential privacy algorithms from the literature.

Python Differential Privacy Library

A library that contains implementations of differential privacy algorithms found in literature.

Usage

Setup

Installation with pip

The library is designed to run with Python 3. The library can be installed from the PyPi repository using pip (or pip3):

pip install differential-privacy

Manual installation

For the most recent version of the library, either download the source code or clone the repository in your directory of choice:

git clone https://github.com/robomotic/differential-privacy.git

To install differential-privacy, do the following in the project folder (alternatively, you can run python3 -m pip install .):

pip install .

The library comes with a basic set of unit tests for pytest. To check your install, you can run all the unit tests by calling pytest in the install folder:

pytest