ALEXANDRIA, Va., May 19 -- United States Patent no. 12,634,393, issued on May 19.
"Multi-layer machine-learning adversarial threat defense in voice and chat channels" was invented by Bjorn Austraat (New York).
According to the abstract* released by the U.S. Patent & Trademark Office: "Methods and systems, including computer-readable media, are described for detecting fraudulent calls or chat messages based on machine-learning (ML) techniques. A computing platform uses multi-layer ML adversarial threat defense systems to proactively detect deceptive bots that carry out fraudulent calls. The systems can identify data derived from signals corresponding to a communication received from a source. A classifier model computes a probability that ...