statice / anonymeterLinks
A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR
☆87Updated last month
Alternatives and similar repositories for anonymeter
Users that are interested in anonymeter are comparing it to the libraries listed below
Sorting:
- ☆36Updated last year
- ☆39Updated 2 years ago
- An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"☆103Updated last month
- A toolbox for differentially private data generation☆132Updated last year
- Tools and service for differentially private processing of tabular and relational data☆269Updated 5 months ago
- Differentially Private (tabular) Generative Models Papers with Code☆49Updated 11 months ago
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆522Updated 9 months ago
- ☆267Updated last year
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆661Updated last month
- Metrics to evaluate quality and efficacy of synthetic datasets.☆237Updated this week
- SDNist: Benchmark data and evaluation tools for data synthesizers.☆36Updated 2 weeks ago
- autodp: A flexible and easy-to-use package for differential privacy☆274Updated last year
- Differentially-private transformers using HuggingFace and Opacus☆139Updated 9 months ago
- Benchmarking synthetic data generation methods.☆274Updated last week
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆73Updated last year
- A library to generate synthetic tabular or RDF data using Conditional Generative Adversary Networks (GANs) combined with Differential Pri…☆38Updated 3 months ago
- A software package for privacy-preserving generation of a synthetic twin to a given sensitive data set.☆53Updated 9 months ago
- 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
- Diffprivlib: The IBM Differential Privacy Library☆870Updated last month
- ☆43Updated 3 years ago
- A library for running membership inference attacks against ML models☆148Updated 2 years ago
- list of differential-privacy related resources☆312Updated 5 months ago
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆121Updated last month
- Differentially Private Synthetic Data Generation [DP-SDG] - Experimental Setups & Knowledge Base - WORK IN PROGRESS☆12Updated 2 years ago
- Differentially-private Wasserstein GAN implementation in PyTorch☆28Updated 5 years ago
- Private Evolution: Generating DP Synthetic Data without Training [ICLR 2024, ICML 2024 Spotlight]☆97Updated 3 weeks ago
- Official git for "CTAB-GAN: Effective Table Data Synthesizing"☆86Updated last year
- An implementation of "Data Synthesis via Differentially Private Markov Random Fields"☆13Updated last year
- Differential private machine learning☆194Updated 3 years ago
- PrivGAN: Protecting GANs from membership inference attacks at low cost☆33Updated last year