4 citations · 4 across the 4 of their papers we have counts for
4 papers
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…
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…
Privacy Measurement in Tabular Synthetic Data: State of the Art and Future Research Directions
Alexander Boudewijn, Andrea Filippo Ferraris, Daniele Panfilo +4
Synthetic data (SD) have garnered attention as a privacy enhancing technology. Unfortunately, there is no standard for quantifying their degree of privacy protection. In this paper…
Generating Realistic Synthetic Relational Data through Graph Variational Autoencoders
Ciro Antonio Mami, Andrea Coser, Eric Medvet +7
Synthetic data generation has recently gained widespread attention as a more reliable alternative to traditional data anonymization. The involved methods are originally developed f…