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Found 5 papers, 3 papers with code
Assessing Privacy Leakage in Synthetic 3-D PET Imaging using Transversal GAN
For this reason, generative image models are highly sought after to facilitate data sharing.
Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN)
Generating multivariate time series is a promising approach for sharing sensitive data in many medical, financial, and IoT applications.
3-D PET Image Generation with tumour masks using TGAN
To test the utility of the synthetic images, we train a segmentation model using the synthetic images.
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary
We show that by using the FELICIA mechanism, a data owner with limited image samples can generate high-quality synthetic images with high utility while neither data owners has to provide access to its data.
Private data sharing between decentralized users through the privGAN architecture
We propose a method for data owners to share synthetic or fake versions of their data without sharing the actual data, nor the parameters of models that have direct access to the data.
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