On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach | Journal of Artificial Intelligence Research
Test Information Space
EHR-Safe: Generating High-Fidelity and Privacy-Preserving Synthetic Electronic Health Records