US Patent Issued to HiddenLayer on March 18 for "Hidden compartments in data encrypted using machine learning" (California, Oregon Inventors)

ALEXANDRIA, Va., March 19 -- United States Patent no. 12,254,104, issued on March 18, was assigned to HiddenLayer Inc. (Austin, Texas).

"Hidden compartments in data encrypted using machine learning" was invented by Julian Collado Umana (Irvine, Calif.) and Andrew Davis (Portland, Ore.).

According to the abstract* released by the U.S. Patent & Trademark Office: "First data is received which encapsulates second data in a hidden compartment. Thereafter, a password is received by a password encoder which uses such password to generate a key. The first data and the key are combined to generate the second data (i.e., the hidden data). The second data is then provided to a consuming application or process. Related apparatus, systems, techniques ...