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07/09/2023
On the Challenges of Deploying Privacy-Preserving Synthetic Data in the Enterprise
Generative AI technologies are gaining unprecedented popularity, causing...
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07/01/2023
When Synthetic Data Met Regulation
In this paper, we argue that synthetic data produced by Differentially P...
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05/18/2023
Understanding how Differentially Private Generative Models Spend their Privacy Budget
Generative models trained with Differential Privacy (DP) are increasingl...
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07/12/2022
dpart: Differentially Private Autoregressive Tabular, a General Framework for Synthetic Data Generation
We propose a general, flexible, and scalable framework dpart, an open so...
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11/26/2021
DP-SGD vs PATE: Which Has Less Disparate Impact on GANs?
Generative Adversarial Networks (GANs) are among the most popular approa...
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09/23/2021
Robin Hood and Matthew Effects – Differential Privacy Has Disparate Impact on Synthetic Data
Generative models trained using Differential Privacy (DP) are increasing...
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02/05/2021
