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 and an example notebook in our repo!

Contents:

• lnb package
  • classifiers
  • data_prep
  • distance
  • feature_extractors
  • generators
  • mia
  • plots
  • shadow
  • utils