Evaluating Classifiers Trained on Differentially Private Synthetic Health Data. - Parisa Movahedi; Valtteri Nieminen; Ileana Montoya Perez; Tapio Pahikkala; Antti Airola (CBMS, 2023)

Empirical Evaluation of Amplifying Privacy by Subsampling for GANs to Create Differentially Private Synthetic Tabular Data. - Valtteri Nieminen; Tapio Pahikkala; Antti Airola (TKTP, 2023)

Benchmarking Evaluation Protocols for Classifiers Trained on Differentially Private Synthetic Data. - Parisa Movahedi; Valtteri Nieminen; Ileana Montoya Perez; Hiba Daafane; Dishant Sukhwal; Tapio Pahikkala; Antti Airola (IEEE Access, 2024)

Does Differentially Private Synthetic Data Lead to Synthetic Discoveries? - Ileana Montoya Perez; Parisa Movahedi; Valtteri Nieminen; Antti Airola; Tapio Pahikkala (CoRR, 2024)