most citedEvaluating the Fairness Impact of Differentially Private Synthetic Data

7 citations · 7 across the 1 of their papers we have counts for

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cs.LG2022★ 7 cited

Evaluating the Fairness Impact of Differentially Private Synthetic Data

Blake Bullwinkel, Kristen Grabarz, Lily Ke +3

Differentially private (DP) synthetic data is a promising approach to maximizing the utility of data containing sensitive information. Due to the suppression of underrepresented cl…