Joshua Falk
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| title | conference | date |
|---|---|---|
| Generating realistic, differentially private data sets using GANs | PyData New York City 2019 | 2019-11-04 |
Generates synthetic individual-level data with differential privacy by adding noise to gradients during GAN training and releases a PyTorch implementation… | ||
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