arx-deidentifier / 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.
☆620Updated 3 weeks ago
Related projects: ⓘ
- Python Implementation for Mondrian Multidimensional K-Anonymity (Mondrian).☆168Updated 9 months ago
- Diffprivlib: The IBM Differential Privacy Library☆815Updated this week
- Dataflow analysis & differential privacy for SQL queries. This project is deprecated and not maintained.☆393Updated 4 years ago
- Differential privacy validator and runtime☆290Updated 2 years ago
- Tools and service for differentially private processing of tabular and relational data☆244Updated last month
- list of differential-privacy related resources☆279Updated 5 months ago
- The core library of differential privacy algorithms powering the OpenDP Project.☆313Updated this week
- ☆253Updated 5 months ago
- ☆16Updated 10 months ago
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆500Updated last week
- RAPPOR: Privacy-Preserving Reporting Algorithms☆858Updated 2 years ago
- Mondrian for L-diveristy. It's not available now.☆18Updated 5 years ago
- The raw mondrian is designed for numerical attributes. When comes to categorical attributes, Mondrian needs to transform categorical attr…☆32Updated last year
- Code samples and documentation for SmartNoise differential privacy tools☆132Updated 2 years ago
- Python language bindings for smartnoise-core.☆75Updated last year
- Privacy Engineering Collaboration Space☆234Updated 4 months ago
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆581Updated 3 weeks ago
- A Privacy Preserving Data Mining Platform☆46Updated 12 years ago
- Synthetic data generators for structured and unstructured text, featuring differentially private learning.☆579Updated last week
- Anonymization methods for network security.☆149Updated 4 years ago
- A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR☆66Updated 2 months ago
- K-Anonymity Simulator☆15Updated 7 years ago
- Docker CLI package for the vantage6 infrastructure☆24Updated 4 months ago
- Library for training machine learning models with privacy for training data☆1,921Updated 2 weeks ago
- cluster based generalization for k-anonymity☆28Updated 5 years ago
- Web application that makes data releases that satisfy differential privacy using the OpenDP Library☆19Updated last month
- Evaluating variety of k-Anonymity techniques.☆53Updated 11 months ago
- ☆42Updated 3 years ago
- A curated list of resources related to privacy engineering☆100Updated 5 months ago
- ☆283Updated 2 months ago