Privacy protected GAN for image data

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License: MIT

Author: Sumit Mukherjee, Nabajyoti Patowary

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This repository contains the source code for PrivGan - a novel approach for deterring membership inference attacks on GAN generated synthetic medical data.Currently, the repository contains the jupyter notebooks for various datasets. We will be converting the code into a library in the future. Please visit our paper "PrivGAN: Protecting GANs from membership inference attacks at low cost" ArXiv Link submitted at PETS 2021.

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License: MIT

Author: Sumit Mukherjee, Nabajyoti Patowary


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