Researchers have developed a hybrid deep learning architecture combining graph neural networks, Transformers, and variational ...

Researchers at the University of Tabriz have developed GCAT, a graph-convolutional adversarial transformer that detects anomalies in multivariate sensor data without labeled examples, achieving top ...

This is where Elastic’s Data Exfiltration Detection (DED) package can help. Instead of relying only on fixed thresholds, DED uses Elastic machine learning anomaly detection jobs to learn normal ...