Bristena Oprisanu

Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data

Generative models trained with Differential Privacy (DP) can be used to generate synthetic data while minimizing privacy risks. 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…