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Found 3 papers, 1 papers with code
Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data
We analyze the impact of DP on these models vis-a-vis underrepresented classes/subgroups of data, specifically, studying: 1) the size of classes/subgroups in the synthetic data, and 2) the accuracy of classification tasks run on them.
On Utility and Privacy in Synthetic Genomic Data
The availability of genomic data is essential to progress in biomedical research, personalized medicine, etc.
Synthetic Data -- Anonymisation Groundhog Day
In other words, we empirically show that synthetic data does not provide a better tradeoff between privacy and utility than traditional anonymisation techniques.
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