Abstract: Deep autoencoder (AE) has demonstrated promising performances in visual anomaly detection (VAD). Learning normal patterns on normal data, deep AE is expected to yield larger reconstruction ...

Abstract: Classic unsupervised anomaly detection learns normative patterns from normal behavior and assumes that unforeseen anomalous behavior will result in significant prediction deviations. However ...

Abhinav Piratla, an AI security architect, is closing the critical gap in medical device protection. Discover how his ...