Benchmarking Evaluation Protocols for Classifiers Trained on Differentially Private Synthetic Data
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DOI: 10.1109/access.2024.3446913
Abstract: Differentially private (DP) synthetic data has emerged as a potential solution for sharing sensitive individual-level biomedical data. DP generative models offer a promising approach for generating realistic synthetic data that aims to maintain the original… read more here.
Keywords: protocols classifiers; synthetic data; evaluation protocols; classifiers trained ... See more keywords