A new framework evaluates privacy metrics for synthetic tabular data by inserting controlled risks and testing detection under no-box threat models on public datasets.
Harnessing the power of synthetic data in healthcare: innovation, application, and privacy.npj Digital Medicine, 6, 10 2023
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Systematic review of 134 studies consolidates synthetic tabular health data evaluation methods into taxonomies and provides guidelines to address challenges like inconsistent metrics and limited reproducibility.
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Empirical Evaluation of Structured Synthetic Data Privacy Metrics: Novel experimental framework
A new framework evaluates privacy metrics for synthetic tabular data by inserting controlled risks and testing detection under no-box threat models on public datasets.
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Critical Challenges and Guidelines in Evaluating Synthetic Tabular Data: A Systematic Review
Systematic review of 134 studies consolidates synthetic tabular health data evaluation methods into taxonomies and provides guidelines to address challenges like inconsistent metrics and limited reproducibility.