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cs.CR2025
Empirical Evaluation of Structured Synthetic Data Privacy Metrics: Novel experimental framework
Milton Nicolás Plasencia Palacios, Alexander Boudewijn, Sebastiano Saccani +6
Synthetic data generation is gaining traction as a privacy enhancing technology (PET). When properly generated, synthetic data preserve the analytic utility of real data while avoi…
cs.LG2025
Contrastive Learning-Based privacy metrics in Tabular Synthetic Datasets
Milton Nicolás Plasencia Palacios, Sebastiano Saccani, Gabriele Sgroi +2
Synthetic data has garnered attention as a Privacy Enhancing Technology (PET) in sectors such as healthcare and finance. When using synthetic data in practical applications, it is…