Patent ID: 11922289
Assignee: SUBSALT INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 16:
17. The method according to claim 12, wherein:
the generative database, once configured, synthesizes data samples for a plurality of synthetization objectives including a regression-based synthetization objective,
constructing the generative model election data structure:
training a plurality of synthetic machine learning regression models using synthetic data samples produced by a respective generative model of the plurality of generative models,
training a distinct machine learning regression model using sensitive data samples included in the target sensitive dataset,
determining a synthetic machine learning regression model of the plurality of synthetic machine learning regression models that performs closest to the distinct machine learning regression model trained on the sensitive data samples, and
selecting the respective generative model associated with the synthetic machine learning regression model that performs closest to the distinct machine learning classifier trained on the sensitive data samples as an optimal generative model for the regression-based synthetization objective.