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anonymization-api

How to build and deploy an anonymization API with FastAPI

arx

ARX is a comprehensive open source data anonymization tool aiming to provide scalability and usability. It supports various anonymization techniques, methods for analyzing data quality and re-identification risks and it supports well-known privacy models, such as k-anonymity, l-diversity, t-closeness and differential privacy.

arx-cli

Command-Line Interface for ARX

arx-help

ARX Help

arx-installer

Installer for the ARX anonymization tool

arx_examples

arxpy

Python interface for Arx

attacker

Script for testing Diffix by running attacks

awesome-langchain

😎 Awesome list of tools and projects with the awesome LangChain framework

cocoa

datasets for testing anonymization algorithms

ctgan

Conditional GAN for generating synthetic tabular data.

data-privacy-tutorials

Practical tutorials for data privacy

dataframe

C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types, continuous memory storage, and no pointers are involved

demo_notebook

differential-privacy

Google's differential privacy libraries.

diffix_desktop

Cross-platform desktop application for data anonymization with Open Diffix Elm.

dpcourse.github.io

Website for dpcourse

faker

Faker is a Python package that generates fake data for you.

genetic-benchmark

Benchmark of ARX's genetic algorithm and further approaches for anonymizing high-dimensional data

java-maven-package-ia

simple example to packaje a java app and publish it in maven

java-swt

A simple example of maven and ant build for swt

jhpl

Java High-Performance Library for Lattices

k-anonymity-flash

Implementation of Flash k-anonymity algorithm [1].

langchain

⚡ Building applications with LLMs through composability ⚡

nbsynthetic

nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets

nipy

Neuroimaging in Python FMRI analysis package

opacus

Training PyTorch models with differential privacy

orphadata_aggregated

Provided files are a partial extraction of the Orphanet knowledge base on Rare Diseases

playground

A Streamlit application to play with machine learning models directly from the browser

pr-vue-tutorial