greenelab / SPRINT_gan
Privacy-preserving generative deep neural networks support clinical data sharing
☆105Updated 6 years ago
Alternatives and similar repositories for SPRINT_gan
Users that are interested in SPRINT_gan are comparing it to the libraries listed below
Sorting:
- Differentially private release of semantic rich data☆35Updated 3 years ago
- Source code of paper "Differentially Private Generative Adversarial Network"☆69Updated 6 years ago
- A TensorFlow (Python 3) implementation of a differentially-private-GAN.☆20Updated 5 years ago
- Differentially private learning on distributed data (NIPS 2017)☆12Updated 7 years ago
- Differentially Private Optimization for PyTorch 👁🙅♀️☆186Updated 4 years ago
- Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking …☆103Updated 5 years ago
- This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.☆64Updated 6 years ago
- Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data☆33Updated 6 years ago
- Statistical Counterexample Detector for Differential Privacy☆28Updated last year
- UCLANesl - NIST Differential Privacy Challenge (Match 3)☆24Updated 5 years ago
- A toolbox for differentially private data generation☆131Updated last year
- Code for NIPS'2017 paper☆50Updated 4 years ago
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆44Updated 3 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Updated 4 years ago
- Collateral Learning - Functional Encryption and Adversarial Training on partially encrypted networks☆76Updated 9 months ago
- Differentially-private Wasserstein GAN implementation in PyTorch☆28Updated 5 years ago
- SAP Security research sample code and tutorials for generating differentially private synthetic datasets using generative deep learning m…☆23Updated last year
- A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.☆182Updated 4 years ago
- A library for running membership inference attacks against ML models☆147Updated 2 years ago
- Fork of the differential privacy module of TF/models/research☆14Updated 5 years ago
- simple Differential Privacy in PyTorch☆48Updated 4 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆34Updated 3 years ago
- This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.☆26Updated 4 years ago
- Differentially Private Conditional Generative Adversarial Network☆31Updated 3 years ago
- Various material around private machine learning, some associated with blog☆149Updated 5 years ago
- Analytic calibration for differential privacy with Gaussian perturbations☆47Updated 6 years ago
- ☆43Updated 3 years ago
- ☆8Updated 7 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆275Updated last year
- A simple wrapper for the PATE analysis for Differential Privacy by Papernot, Song et al.☆9Updated 5 years ago