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

Claim 1:
2. The method according to claim 1, wherein:
the plurality of synthetization-informative query parameters extracted from the generative database query comprise a set of synthetic data columns requested in the generative database query,
each generative model-to-synthetization efficacy data nexus of the generative model election data structure (a) corresponds to a generative model trained on the target sensitive dataset and (b) includes column-level synthetization efficacy metrics for each synthetic data column that the generative model synthesizes, and
electing the generative model from the one or more generative model-to-synthetization efficacy data nexuses includes:
identifying, in each of the one or more generative model-to-synthetization efficacy data nexuses, the column-level synthetization efficacy metrics that correspond to the set of synthetic data columns requested in the generative database query;
calculating a distinct aggregate column synthetization score for the generative model associated with each of the one or more generative model-to-synthetization efficacy data nexuses based on the identifying; and
comparing the distinct aggregate column synthetization score calculated for the generative model corresponding to each of the one or more generative model-to-synthetization efficacy data nexuses; and
electing a generative model with a greatest aggregate column synthetization score as the generative model for fulfilling the generative database query.