Differential privacy dataset generation using generative models
US11847538B2 · kind B2 · utility
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28Claims
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Key dates
| Filing date | May 11, 2021 |
| Grant date | Dec 19, 2023 |
| Priority date | — |
| Expiry date | May 26, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/56
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Apparatuses, systems, and techniques to train a generative model based at least in part on a private dataset. In at least one embodiment, the generative model is trained based at least in part on a differentially private Sinkhorn algorithm, for example, using backpropagation with gradient descent to determine a gradient of a set of parameters of the generative models and modifying the set of parameters based at least in part on the gradient.
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