.. Leaving Noone Behind documentation master file, created by
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   You can adapt this file completely to your liking, but it should at least
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Leaving Noone Behind documentation
==================================

Welcome to the Leaving Noone Behind documentation!
Our package - lnb - provides an easy-to-use method for estimating the privacy risk of synthetic data using membership inference attacks.

Find our `installation instructions <https://github.com/computationalprivacy/leaving-noone-behind/blob/master/README.md>`_ and an `example notebook <https://github.com/computationalprivacy/leaving-noone-behind/blob/master/notebooks/example.ipynb>`_ in our `repo <https://github.com/computationalprivacy/leaving-noone-behind/tree/master>`_!


.. toctree::
   :maxdepth: 2
   :caption: Contents:

   lnb