Generating Realistic Synthetic Relational Data through Graph Variational Autoencoders. - Ciro Antonio Mami; Andrea Coser; Eric Medvet; Alexander T. P. Boudewijn; Marco Volpe 004; Michael Whitworth; Borut Svara; Gabriele Sgroi; Daniele Panfilo; Sebastiano Saccani (CoRR, 2022)

A Deep Learning-Based Pipeline for the Generation of Synthetic Tabular Data. - Daniele Panfilo; Alexander T. P. Boudewijn; Sebastiano Saccani; Andrea Coser; Borut Svara; Carlo Rossi Chauvenet; Ciro Antonio Mami; Eric Medvet (IEEE Access, 2023)

Privacy Measurement in Tabular Synthetic Data: State of the Art and Future Research Directions. - Alexander T. P. Boudewijn; Andrea Filippo Ferraris; Daniele Panfilo; Vanessa Cocca; Sabrina Zinutti; Karel De Schepper; Carlo Rossi Chauvenet (CoRR, 2023)

Contrastive Learning-Based privacy metrics in Tabular Synthetic Datasets. - Milton Nicolás Plasencia Palacios; Sebastiano Saccani; Gabriele Sgroi; Alexander T. P. Boudewijn; Luca Bortolussi (CoRR, 2025)