US Patent Issued to GOOGLE on Jan. 27 for "Training firewall for improved adversarial robustness of machine-learned model systems" (California Inventors)

ALEXANDRIA, Va., Jan. 28 -- United States Patent no. 12,536,446, issued on Jan. 27, was assigned to GOOGLE LLC (Mountain View, Calif.).

"Training firewall for improved adversarial robustness of machine-learned model systems" was invented by Gaurav Menghani (Santa Clara, Calif.) and Ariel Fuxman (Redwood City, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "An example method can include obtaining, by a computing system, a first dataset including first reference inputs and first reference outputs. The example method can include training, by the computing system, a first machine-learned model using the first dataset. The example method can include obtaining, by the computing system, a second dataset inclu...