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

Georgi Ganev, Bristena Oprisanu, Emiliano De Cristofaro. Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 6944-6959, PMLR, 2022. [doi]

Abstract

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