navikt / arxaasLinks
ARXaaS is a "Anonymization as a Service" project built ontop of the ARX library
☆22Updated last year
Alternatives and similar repositories for arxaas
Users that are interested in arxaas are comparing it to the libraries listed below
Sorting:
- Tools and service for differentially private processing of tabular and relational data☆269Updated 5 months ago
- Code samples and documentation for SmartNoise differential privacy tools☆133Updated 3 years ago
- Python language bindings for smartnoise-core.☆76Updated 2 years ago
- Web application that makes data releases that satisfy differential privacy using the OpenDP Library☆22Updated 10 months ago
- A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR☆88Updated this week
- Anonymization methods for network security.☆158Updated 3 months ago
- ☆36Updated last year
- The core library of differential privacy algorithms powering the OpenDP Project.☆367Updated this week
- An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"☆103Updated this week
- ☆43Updated 3 years ago
- Multiple Frequency Estimation Under Local Differential Privacy in Python☆48Updated last year
- Python Implementation for Mondrian Multidimensional K-Anonymity (Mondrian).☆174Updated last year
- Privacy Testing for Deep Learning☆206Updated last year
- pyCANON is a Python library and CLI to assess the values of the parameters associated with the most common privacy-preserving techniques.☆38Updated last week
- list of differential-privacy related resources☆312Updated 5 months ago
- Implementation of DataFly for K-anonymity, and implemented Laplace Mechanism and Exponential Mechanism for Differential Privacy☆40Updated 6 years ago
- Differentially Private Synthetic Data Generation [DP-SDG] - Experimental Setups & Knowledge Base - WORK IN PROGRESS☆12Updated 2 years ago
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆74Updated last year
- This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.☆63Updated 6 years ago
- Anonymization library for python. Protect the privacy of individuals.☆30Updated 9 months ago
- Evaluating variety of k-Anonymity techniques.☆55Updated last year
- The raw mondrian is designed for numerical attributes. When comes to categorical attributes, Mondrian needs to transform categorical attr…☆35Updated 2 years ago
- ☆39Updated 2 years ago
- Privacy Preserving Machine Learning (Manning Early Access Program)☆33Updated 2 years ago
- A implementation of Privacy Buckets: A numerical tool to calculate privacy loss☆10Updated 3 years ago
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆522Updated 9 months ago
- A toolbox for differentially private data generation☆132Updated last year
- Mondrian for L-diveristy. It's not available now.☆20Updated 6 years ago
- Privacy-Preserving Data Analysis using Pandas☆23Updated 3 years ago
- 📊 Privacy Preserving Medical Data Analytics using Secure Multi Party Computation. An End-To-End Use Case. A. Giannopoulos, D. Mouris M.S…☆20Updated last year