Privacy-preserving data release leveraging optimal transport and particle gradient descent

Konstantin Donhauser, Javier Abad, Neha Hulkund +1

We present a novel approach for differentially private data synthesis of protected tabular datasets, a relevant task in highly sensitive domains such as healthcare and government.…