Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)

Anonymization methods for network security.

Evaluating variety of k-Anonymity techniques.

Anonymizing Library for Apache Spark

Repertoire sur l'anonymisation

pyCANON is a Python library and CLI to assess the values of the parameters associated with the most common privacy-preserving techniques.

Anonymization library for python. Protect the privacy of individuals.

ANJANA is a Python library for anonymizing sensitive data

Caterpillar Proxy - The simple web debugging proxy (formerly, php-httpproxy)

A simple Python package to quickly run privacy metrics for your data. Obtain the K-anonimity, L-diversity and T-closeness to asses how anonymous your transformed data is, and how it's balanced with data usability.

Library for easily interfacing with Have I Been Pwned API v2

Go wrapper service for the STAR randomness server.

Passchek is a simple cli tool, checks if your password has been compromised.

Scalable distributed data anonymization for large datasets

COMP4240

A repo that takes you through some principles about data privacy based on the Kenya Data Protection Act and General Data Protection Regulation. Useful for a data person.

The command line tool 'pwnedk' checks whether a particular password is leaked applying k-anonymity via the API "Searching by range" of HIBP.

An application of the "Mondrian Multidimensional K-Anonymity" article in Python

Implementation of Mondrian k-anonymity algorithm

Impacts of data anonymization on model prediction for diabetes