US Patent Issued to HiddenLayer on May 27 for "Machine learning model parameter based encryption" (California, Oregon Inventors)

ALEXANDRIA, Va., June 17 -- United States Patent no. 12,314,378, issued on May 27, was assigned to HiddenLayer Inc. (Austin, Texas).

"Machine learning model parameter based encryption" 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: "A first password is received by a password encoder which uses the first password to generate a first key. This first key is used to modify weights and biases of an encoder to result in a modified encoder. Further, weights and biases of a decoder operating in tandem with the encoder based can be modified based on a second key to result in a modified decoder. First data is received which encapsula...