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 ...

With the rise of generative models, there is a growing interest in unifying all tasks within a generative framework. Anomaly detection methods also fall into this scope and utilize diffusion models to ...

Network operations teams react to incidents after they occur. A link silently saturates at 95% for four hours before a user calls the helpdesk. A WAN circuit flaps repeatedly — dropping BGP sessions — ...

Abstract: The ability to detect anomalies in business processes is crucial for achieving success in business operations. While unsupervised anomaly detection approaches have gained popularity in ...