US Patent Issued to Arizona Board of Regents on Behalf of Arizona State University on Sept. 1 for "Systems and methods for few-shot network anomaly detection via cross-network meta-learning" (Arizona Inventors)

ALEXANDRIA, Va., Sept. 1 -- United States Patent no. 12,725,005, issued on Sept. 1, was assigned to Arizona Board of Regents on Behalf of Arizona State University (Tempe, Ariz.).

"Systems and methods for few-shot network anomaly detection via cross-network meta-learning" was invented by Huan Liu (Tempe, Ariz.) and Kaize Ding (Tempe, Ariz.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Various embodiments for few-shot network anomaly detection via cross-network meta-learning are disclosed herein. An anomaly detection system incorporating a new family of graph neural networks-Graph Deviation Networks (GDN) can leverage a small number of labeled anomalies for enforcing statistically significant deviations betwe...