The Data Science Lab Autoencoder Anomaly Detection Using PyTorch Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a ...

That said, applying a neural autoencoder anomaly detection system to tabular data is typically the best way to start. A limitation of the autoencoder architecture presented in this article is that it ...

Researchers at UC Berkeley and Adobe Research propose in a paper Swapping Autoencoder, an AI tool that could be used to create realistic deepfakes.

We propose an unsupervised method for detecting adversarial attacks in inner layers of autoencoder (AE) networks by maximizing a non-parametric measure of anomalous node activations.

Brain Leke Betechuoh, Tshilidzi Marwala, Thando Tettey, Autoencoder networks for HIV classification, Current Science, Vol. 91, No. 11 (10 December 2006), pp. 1467-1473 ...