ALEXANDRIA, Va., June 9 -- United States Patent no. 12,651,153, issued on June 9, was assigned to International Business Machines Corp. (Armonk, N.Y.).

"Adversial deep neural network fuzzing" was invented by Fady Copty (Haifa, Israel) and Dov Murik (Haifa, Israel).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method for detecting security vulnerabilities, comprising: generating a corpus of input samples each labeled to indicate a threat level when executed by an input processing code; training a neural network (NN) using the plurality of input samples to classify inputs according to a plurality of labels of the plurality of input samples; for each input sample: iteratively altering the input sample to corr...