Alternatives and similar repositories for differentially_private_synthetic_data:

Users that are interested in differentially_private_synthetic_data are comparing it to the libraries listed below

• ganevgv / dp-generative-models
  Differentially Private (tabular) Generative Models Papers with Code
  ☆48Updated 10 months ago
• BorealisAI / private-data-generation
  A toolbox for differentially private data generation
  ☆131Updated last year
• Pushkar-v / Generating-Synthetic-Data-using-GANs
  Generating Tabular Synthetic Data using State of the Art GAN architecture
  ☆79Updated 5 years ago
• civisanalytics / dpwgan
  Differentially-private Wasserstein GAN implementation in PyTorch
  ☆28Updated 5 years ago
• Team-TUD / CTAB-GAN
  Official git for "CTAB-GAN: Effective Table Data Synthesizing"
  ☆85Updated last year
• Team-TUD / CTAB-GAN-Plus
  Official GitHub for CTAB-GAN+
  ☆75Updated 11 months ago
• ryan112358 / private-pgm
  An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"
  ☆102Updated this week
• spring-epfl / synthetic_data_release
  ☆39Updated 2 years ago
• alan-turing-institute / tapas
  ☆36Updated last year
• Lory94 / dp-GAN
  Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data
  ☆33Updated 6 years ago
• usnistgov / SDNist
  SDNist: Benchmark data and evaluation tools for data synthesizers.
  ☆35Updated 3 weeks ago
• microsoft / dp-transformers
  Differentially-private transformers using HuggingFace and Opacus
  ☆136Updated 8 months ago
• IFCA-Advanced-Computing / pycanon
  pyCANON is a Python library and CLI to assess the values of the parameters associated with the most common privacy-preserving techniques.
  ☆36Updated last week
• statice / anonymeter
  A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR
  ☆87Updated 2 months ago
• leriomaggio / privacy-preserving-data-science
  Course Material for the Tutorial on Privacy Enhancing Technologies and PPML
  ☆13Updated 3 years ago
• hharcolezi / ldp-protocols-mobility-cdrs
  Implementation of local differential privacy mechanisms in Python language.
  ☆28Updated 2 years ago
• zhao-zilong / Tabula
  Official git for "TabuLa: Harnessing Language Models for Tabular Data Synthesis"
  ☆39Updated last week
• sattarov / FedTabDiff
  Implementation of the paper: "FedTabDiff: Federated Learning of Diffusion Models for Synthetic Mixed-Type Tabular Data Generation"
  ☆20Updated 5 months ago
• opendp / smartnoise-sdk
  Tools and service for differentially private processing of tabular and relational data
  ☆265Updated 3 months ago
• Baukebrenninkmeijer / On-the-Generation-and-Evaluation-of-Synthetic-Tabular-Data-using-GANs
  Repository for the results of my master thesis, about the generation and evaluation of synthetic data using GANs
  ☆44Updated last year
• gitgik / differential-privacy-federated-learning
  Curated notebooks on how to train neural networks using differential privacy and federated learning.
  ☆68Updated 4 years ago
• ivishalanand / Federated-Learning-on-Hospital-Data
  A Federated Learning implementation to diagnose 2 acute inflammations of bladder.. This medical dataset truly needs privacy! Because we c…
  ☆40Updated 5 years ago
• NextBrain-ai / nbsynthetic
  nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets
  ☆66Updated 2 years ago
• gianlucatruda / TableDiffusion
  The first differentially-private diffusion model for tabular data
  ☆25Updated 11 months ago
• google-research / DP-FTRL
  DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.
  ☆29Updated 3 weeks ago
• Baukebrenninkmeijer / table-evaluator
  Evaluate real and synthetic datasets against each other
  ☆88Updated 4 months 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
• Team-TUD / CTAB-GAN-Plus-DP
  ☆22Updated 2 years ago
• illidanlab / dpgan
  Source code of paper "Differentially Private Generative Adversarial Network"
  ☆69Updated 6 years ago
• kaylode / k-anonymity
  Evaluating variety of k-Anonymity techniques.
  ☆54Updated last year