Alternatives and similar repositories for private-data-generation

Users that are interested in private-data-generation are comparing it to the libraries listed below

• ganevgv / dp-generative-models
  Differentially Private (tabular) Generative Models Papers with Code
  ☆49Updated 11 months ago
• alan-turing-institute / tapas
  ☆36Updated last year
• spring-epfl / synthetic_data_release
  ☆39Updated 2 years ago
• ryan112358 / private-pgm
  An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"
  ☆103Updated 3 weeks ago
• illidanlab / dpgan
  Source code of paper "Differentially Private Generative Adversarial Network"
  ☆70Updated 6 years ago
• civisanalytics / dpwgan
  Differentially-private Wasserstein GAN implementation in PyTorch
  ☆28Updated 5 years ago
• sdv-dev / SDGym
  Benchmarking synthetic data generation methods.
  ☆274Updated last week
• Lory94 / dp-GAN
  Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data
  ☆33Updated 6 years ago
• Pushkar-v / Generating-Synthetic-Data-using-GANs
  Generating Tabular Synthetic Data using State of the Art GAN architecture
  ☆80Updated 5 years ago
• spring-epfl / mia
  A library for running membership inference attacks against ML models
  ☆148Updated 2 years ago
• yuxiangw / autodp
  autodp: A flexible and easy-to-use package for differential privacy
  ☆274Updated last year
• SAP-archive / security-research-differentially-private-generative-models
  SAP Security research sample code and tutorials for generating differentially private synthetic datasets using generative deep learning m…
  ☆23Updated last year
• reihaneh-torkzadehmahani / DP-CGAN
  Differentially Private Conditional Generative Adversarial Network
  ☆31Updated 3 years ago
• google-deepmind / jax_privacy
  Algorithms for Privacy-Preserving Machine Learning in JAX
  ☆94Updated 2 months ago
• stefanrmmr / differentially_private_synthetic_data
  Differentially Private Synthetic Data Generation [DP-SDG] - Experimental Setups & Knowledge Base - WORK IN PROGRESS
  ☆12Updated 2 years ago
• DPautoGAN / DPautoGAN
  ☆16Updated 4 years ago
• Team-TUD / CTAB-GAN
  Official git for "CTAB-GAN: Effective Table Data Synthesizing"
  ☆86Updated last year
• ChrisWaites / pyvacy
  Differentially Private Optimization for PyTorch 👁🙅‍♀️
  ☆186Updated 5 years ago
• nesl / nist_differential_privacy_synthetic_data_challenge
  UCLANesl - NIST Differential Privacy Challenge (Match 3)
  ☆24Updated 6 years ago
• opendp / smartnoise-sdk
  Tools and service for differentially private processing of tabular and relational data
  ☆268Updated 5 months ago
• Team-TUD / CTAB-GAN-Plus
  Official GitHub for CTAB-GAN+
  ☆76Updated last year
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆82Updated 2 years ago
• statice / anonymeter
  A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR
  ☆87Updated last month
• microsoft / prv_accountant
  A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.
  ☆73Updated last year
• bargavj / EvaluatingDPML
  This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
  ☆135Updated 2 years ago
• AI-secure / G-PATE
  [NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*…
  ☆30Updated 3 years ago
• usnistgov / SDNist
  SDNist: Benchmark data and evaluation tools for data synthesizers.
  ☆36Updated last week
• astorfi / differentially-private-cgan
  ☆13Updated 4 years ago
• microsoft / privGAN
  PrivGAN: Protecting GANs from membership inference attacks at low cost
  ☆33Updated last year
• BorjaBalle / analytic-gaussian-mechanism
  Analytic calibration for differential privacy with Gaussian perturbations
  ☆48Updated 6 years ago