greenelab / SPRINT_ganLinks
Privacy-preserving generative deep neural networks support clinical data sharing
☆106Updated 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 4 years ago
- A TensorFlow (Python 3) implementation of a differentially-private-GAN.☆20Updated 5 years ago
- Source code of paper "Differentially Private Generative Adversarial Network"☆70Updated 6 years ago
- Differentially Private Optimization for PyTorch 👁🙅♀️☆187Updated 5 years ago
- Differentially-private Wasserstein GAN implementation in PyTorch☆28Updated 5 years ago
- This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.☆118Updated 4 years ago
- Generative adversarial network for generating electronic health records.☆278Updated 6 years ago
- A toolbox for differentially private data generation☆132Updated 2 years ago
- Differentially private learning on distributed data (NIPS 2017)☆12Updated 7 years ago
- Fork of the differential privacy module of TF/models/research☆14Updated 5 years ago
- A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.☆182Updated 4 years ago
- Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data☆33Updated 6 years ago
- ☆134Updated 6 years ago
- Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defin…☆217Updated 7 years ago
- This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.☆63Updated 6 years ago
- SAP Security research sample code and tutorials for generating differentially private synthetic datasets using generative deep learning m…☆23Updated last year
- Code/figures in Right for the Right Reasons☆57Updated 4 years ago
- A concise primer on Differential Privacy☆29Updated 5 years ago
- Collateral Learning - Functional Encryption and Adversarial Training on partially encrypted networks☆76Updated last year
- Comparing fairness-aware machine learning techniques.☆159Updated 2 years ago
- Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking …☆103Updated 5 years ago
- An attempted survey of the current state of Computational Phenotyping, i.e. the use of deep learning for extracting insight from large El…☆22Updated 9 years ago
- Model extraction attacks on Machine-Learning-as-a-Service platforms.☆351Updated 4 years ago
- UCLANesl - NIST Differential Privacy Challenge (Match 3)☆25Updated 6 years ago
- Predictive Modeling in Urgent Care - A Comparative Study of Machine Learning Approaches☆22Updated 6 years ago
- Various material around private machine learning, some associated with blog☆149Updated 6 years ago
- Repository with tutorials and applications of Private-AI algorithms with PySyft☆73Updated 6 years ago
- Statistical Counterexample Detector for Differential Privacy☆28Updated last year
- ☆124Updated 4 years ago
- This repository contains binaries for the multiple teacher approach to learning differential private ML models: https://arxiv.org/abs/161…☆10Updated 8 years ago