statice / anonymeterLinks
A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR
☆92Updated last month
Alternatives and similar repositories for anonymeter
Users that are interested in anonymeter are comparing it to the libraries listed below
Sorting:
- Tools and service for differentially private processing of tabular and relational data☆277Updated 2 weeks ago
- ☆36Updated last year
- ☆271Updated last year
- ☆40Updated 2 years ago
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆674Updated 4 months ago
- A library providing general-purpose tools for estimating discrete distributions from noisy observations of their marginals.☆105Updated 2 weeks ago
- A toolbox for differentially private data generation☆132Updated 2 years ago
- SDNist: Benchmark data and evaluation tools for data synthesizers.☆37Updated last month
- Differentially Private (tabular) Generative Models Papers with Code☆52Updated last year
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆531Updated 11 months ago
- Diffprivlib: The IBM Differential Privacy Library☆884Updated 3 months ago
- FairGrad, is an easy to use general purpose approach to enforce fairness for gradient descent based methods.☆14Updated last year
- A toolkit for tools and techniques related to the privacy and compliance of AI models.☆106Updated 3 months ago
- PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such a…☆279Updated last week
- Metrics to evaluate quality and efficacy of synthetic datasets.☆246Updated last week
- ☆43Updated 4 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆274Updated last year
- The core library of differential privacy algorithms powering the OpenDP Project.☆378Updated this week
- A library for running membership inference attacks against ML models☆149Updated 2 years ago
- 🏁 The core repository to support participants through the UN PET Lab Hackathon 2022 👉 Registration at: https://petlab.officialstatistic…☆19Updated 2 years ago
- PrivGAN: Protecting GANs from membership inference attacks at low cost☆33Updated last year
- A Differentially-Private Random Decision Forest using Smooth Sensitivity☆12Updated 8 years ago
- Differentially-private Wasserstein GAN implementation in PyTorch☆28Updated 5 years ago
- pyCANON is a Python library and CLI to assess the values of the parameters associated with the most common privacy-preserving techniques.☆41Updated last week
- A software package for privacy-preserving generation of a synthetic twin to a given sensitive data set.☆55Updated 11 months ago
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆73Updated last year
- Anonymization methods for network security.☆160Updated 5 months ago
- Benchmarking synthetic data generation methods.☆277Updated this week
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆74Updated last year
- Federated Learning Utilities and Tools for Experimentation☆190Updated last year