arx-deidentifier / arxLinks
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.
☆686Updated 2 months ago
Alternatives and similar repositories for arx
Users that are interested in arx are comparing it to the libraries listed below
Sorting:
- Python Implementation for Mondrian Multidimensional K-Anonymity (Mondrian).☆174Updated 2 years ago
- Tools and service for differentially private processing of tabular and relational data☆288Updated 4 months ago
- Dataflow analysis & differential privacy for SQL queries. This project is deprecated and not maintained.☆400Updated 6 years ago
- Diffprivlib: The IBM Differential Privacy Library☆900Updated 3 months ago
- Differential privacy validator and runtime☆292Updated 3 years ago
- The core library of differential privacy algorithms powering the OpenDP Project.☆401Updated this week
- Anonymization methods for network security.☆164Updated 9 months ago
- Python language bindings for smartnoise-core.☆76Updated 2 years ago
- RAPPOR: Privacy-Preserving Reporting Algorithms☆870Updated 3 years ago
- ARXaaS is a "Anonymization as a Service" project built ontop of the ARX library☆24Updated 2 years ago
- A Privacy Preserving Data Mining Platform☆46Updated 13 years ago
- Sensitive Data Management: Data Discovery and Anonymization toolkit☆158Updated last week
- list of differential-privacy related resources☆318Updated 11 months ago
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆543Updated last month
- ☆842Updated 2 months ago
- A library for Partially Homomorphic Encryption in Python☆630Updated 2 years ago
- ☆38Updated 3 years ago
- A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR☆93Updated 3 weeks ago
- Evaluating variety of k-Anonymity techniques.☆54Updated 2 years ago
- ☆19Updated 2 years ago
- A Platform for Secure Analytics and Machine Learning☆305Updated 2 years ago
- A toolkit for tools and techniques related to the privacy and compliance of AI models.☆107Updated 3 months ago
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆691Updated 8 months ago
- PYthon For Homomorphic Encryption Libraries, perform encrypted computations such as sum, mult, scalar product or matrix multiplication in…☆539Updated 4 months ago
- The raw mondrian is designed for numerical attributes. When comes to categorical attributes, Mondrian needs to transform categorical attr…☆36Updated 2 years ago
- ☆45Updated 4 years ago
- This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.☆63Updated 7 years ago
- Mondrian for L-diveristy. It's not available now.☆20Updated 6 years ago
- Library for training machine learning models with privacy for training data☆1,995Updated 2 weeks ago
- cluster based generalization for k-anonymity☆30Updated 6 years ago