BorealisAI / private-data-generationLinks
A toolbox for differentially private data generation
☆132Updated 2 years ago
Alternatives and similar repositories for private-data-generation
Users that are interested in private-data-generation are comparing it to the libraries listed below
Sorting:
- ☆39Updated 2 years ago
- ☆36Updated last year
- Differentially Private (tabular) Generative Models Papers with Code☆51Updated last year
- Benchmarking synthetic data generation methods.☆275Updated this week
- An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"☆103Updated 3 weeks ago
- Differentially-private Wasserstein GAN implementation in PyTorch☆28Updated 5 years ago
- Source code of paper "Differentially Private Generative Adversarial Network"☆70Updated 6 years ago
- Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data☆33Updated 6 years ago
- A library for running membership inference attacks against ML models☆148Updated 2 years ago
- Differentially Private Optimization for PyTorch 👁🙅♀️☆186Updated 5 years ago
- UCLANesl - NIST Differential Privacy Challenge (Match 3)☆24Updated 6 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆274Updated last year
- ☆13Updated 4 years ago
- PrivGAN: Protecting GANs from membership inference attacks at low cost☆33Updated last year
- SAP Security research sample code and tutorials for generating differentially private synthetic datasets using generative deep learning m…☆23Updated last year
- Generative adversarial training for generating synthetic tabular data.☆290Updated 2 years ago
- Algorithms for Privacy-Preserving Machine Learning in JAX☆95Updated 3 weeks ago
- ☆16Updated 4 years ago
- Federated Learning Utilities and Tools for Experimentation☆190Updated last year
- A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR☆90Updated last month
- Tools and service for differentially private processing of tabular and relational data☆275Updated last month
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆82Updated 2 years ago
- [NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*…☆30Updated 3 years ago
- Python package to create adversarial agents for membership inference attacks againts machine learning models☆47Updated 6 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆33Updated 4 years ago
- Metrics to evaluate quality and efficacy of synthetic datasets.☆243Updated this week
- Data Shapley: Equitable Valuation of Data for Machine Learning☆274Updated last year
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆73Updated last year
- FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.☆265Updated last week
- ☆23Updated last year