Evaluating variety of k-Anonymity techniques.

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

ANJANA is a Python library for anonymizing sensitive data

Anonymizing Library for Apache Spark

Anonymization library for python. Protect the privacy of individuals.

Repertoire sur l'anonymisation

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

Scalable distributed data anonymization for large datasets

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

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

Implementation of Mondrian k-anonymity algorithm

Automated script to check for mass list of passwords against HaveIBeenPwned's K-Anonymity API

Scalable, chunk-wise K-anonymization tool based on the Optimal Lattice Anonymization (OLA) algorithm. It is designed to handle large datasets by processing them in manageable chunks, ensuring data privacy while maintaining utility.

A simple tool to check if your password has been leaked.

对经典k度匿名的注释

This repository contains the code and data for the text anonymization enhancement method presented in B. Manzanares-Salor, D. Sánchez, Enhancing text anonymization via re-identification risk-based explainability, Submitted, 2024.

Transparently check if a password has been dumped in a breach

An algorithm generates k-anonymous knowledge graphs while protecting users' privacy with their own privacy preferences and maximizing their quality for knowledge graph learning.

Mondrian anonymization is a privacy-preserving technique that partitions data while maintaining k-anonymity, minimizing data distortion for machine learning applications.