US Patent Issued to QUALCOMM on Oct. 20 for "Schemes for identifying corrupted datasets for machine learning security" (California Inventors)

ALEXANDRIA, Va., Oct. 21 -- United States Patent no. 12,770,055, issued on Oct. 20, was assigned to QUALCOMM Inc. (San Diego).

"Schemes for identifying corrupted datasets for machine learning security" was invented by Mohamed Fouad Ahmed Marzban (San Diego), Wooseok Nam (San Diego) and Tao Luo (San Diego).

According to the abstract* released by the U.S. Patent & Trademark Office: "Methods, systems, and devices for wireless communications are described. A network entity may obtain a first dataset for a predictive model and may determine a validity of the first dataset based on a legitimacy test of the first dataset. A legitimacy test may include comparing a first output of a predictive model associated with the first dataset to a second ou...