Empirical Evaluation of Amplifying Privacy by Subsampling for GANs to Create Differentially Private Synthetic Tabular Data

Valtteri Nieminen, Tapio Pahikkala, Antti Airola. Empirical Evaluation of Amplifying Privacy by Subsampling for GANs to Create Differentially Private Synthetic Tabular Data. In Jussi Kasurinen, Tero Päivärinta, editors, Proceedings of the Annual Symposium of Computer Science 2023 co-located with The International Conference on Evaluation and Assessment in Software Engineering (EASE 2023), Oulu, Finland, June, 2023. Volume 3506 of CEUR Workshop Proceedings, pages 72-81, CEUR-WS.org, 2023. [doi]

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