A variational autoencoder (VAE) is a deep neural system that can be used to generate synthetic data. VAEs share some architectural similarities with regular neural autoencoders (AEs) but an AE is not ...

Researchers at Idaho National Lab developed a mechanism for detecting network packet anomalies indicative of a network attack using the reconstruction probability from a variational autoencoder.

In this article, we propose a self-augmentation strategy for improving ML-based device modeling using variational autoencoder (VAE)-based techniques. These techniques require a small number of ...