US Patent Issued to Netskope on June 10 for "Detecting organization sensitive data in images via customized deep learning classifier" (California Inventors)

ALEXANDRIA, Va., June 18 -- United States Patent no. 12,326,957, issued on June 10, was assigned to Netskope Inc. (Santa Clara, Calif.).

"Detecting organization sensitive data in images via customized deep learning classifier" was invented by Dong Guo (San Jose, Calif.), Yihua Liao (Fremont, Calif.), Siying Yang (Cupertino, Calif.), Krishna Narayanaswamy (Saratoga, Calif.) and Yi Zhang (Santa Clara, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Disclosed is a method of building a customized deep learning (DL) stack classifier to detect organization sensitive data in images, referred to as image-borne organization sensitive documents, and protecting against loss of the image-borne organization sensiti...