Start applying local differential privacy directly to you data in few lines of code.

This Python library allows to apply local differential privacy to a dataset, list or array. It can be applied to categorical attributes (using the Exponential mechanism), or to numerical ones (using the Laplace or Gaussian mechanism). It also provides metric privacy support based on geo-indistinguishability for location-based data.

User documentation

• Introduction
• Installation
• Getting started
• trasgodp
  • trasgodp package
    • Subpackages
      • trasgodp.categorical package
      • trasgodp.metrics package
      • trasgodp.numerical package
      • trasgodp.geoindis package
    • Module contents

License

This software is licensed under Apache License Version 2.0.

Indices and tables

• Index

• Module Index

• Search Page