Alternatives and similar repositories for private-data-generation

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

• spring-epfl / synthetic_data_release
  ☆40Updated 3 years ago
• ryan112358 / mbi
  A library providing general-purpose tools for estimating discrete distributions from noisy observations of their marginals.
  ☆109Updated last month
• alan-turing-institute / tapas
  ☆36Updated 2 years ago
• sdv-dev / SDGym
  Benchmarking synthetic data generation methods.
  ☆289Updated this week
• illidanlab / dpgan
  Source code of paper "Differentially Private Generative Adversarial Network"
  ☆70Updated 7 years ago
• ganevgv / dp-generative-models
  Differentially Private (tabular) Generative Models Papers with Code
  ☆54Updated last year
• sdv-dev / TGAN
  Generative adversarial training for generating synthetic tabular data.
  ☆296Updated 3 years ago
• civisanalytics / dpwgan
  Differentially-private Wasserstein GAN implementation in PyTorch
  ☆28Updated 6 years ago
• mahmoodm2 / tableGAN
  tableGAN is a synthetic data generation technique (Data Synthesis based on Generative Adversarial Networks paper) based on Generative Ad…
  ☆153Updated 6 years ago
• Lory94 / dp-GAN
  Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data
  ☆34Updated 7 years ago
• yuxiangw / autodp
  autodp: A flexible and easy-to-use package for differential privacy
  ☆278Updated 2 years ago
• nesl / nist_differential_privacy_synthetic_data_challenge
  UCLANesl - NIST Differential Privacy Challenge (Match 3)
  ☆25Updated 6 years ago
• spring-epfl / mia
  A library for running membership inference attacks against ML models
  ☆152Updated 3 years ago
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆85Updated 3 years ago
• DPautoGAN / DPautoGAN
  ☆16Updated 5 years ago
• sarus-tech / dp-xgboost
  ☆24Updated last year
• opendp / smartnoise-sdk
  Tools and service for differentially private processing of tabular and relational data
  ☆288Updated 4 months ago
• microsoft / msrflute
  Federated Learning Utilities and Tools for Experimentation
  ☆193Updated last year
• astorfi / differentially-private-cgan
  ☆14Updated 5 years ago
• ebagdasa / differential-privacy-vs-fairness
  Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19
  ☆33Updated 4 years ago
• Team-TUD / CTAB-GAN
  Official git for "CTAB-GAN: Effective Table Data Synthesizing"
  ☆94Updated last year
• OpenMined / PyDP
  The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
  ☆543Updated last month
• BielStela / membership_inference
  Python package to create adversarial agents for membership inference attacks againts machine learning models
  ☆47Updated 6 years ago
• Pushkar-v / Generating-Synthetic-Data-using-GANs
  Generating Tabular Synthetic Data using State of the Art GAN architecture
  ☆82Updated 5 years ago
• microsoft / privGAN
  PrivGAN: Protecting GANs from membership inference attacks at low cost
  ☆36Updated last year
• socialfoundations / folktables
  Datasets derived from US census data
  ☆273Updated last year
• statice / anonymeter
  A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR
  ☆93Updated 2 weeks ago
• 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…
  ☆22Updated last year
• jmikko / fair_ERM
  Fair Empirical Risk Minimization (FERM)
  ☆37Updated 5 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 4 years ago