And, graph neural networks (GNNs) based anomaly detection methods attract considerable research interests due to the power of modeling attributed graphs. However, the convolution operation ... we ...

Google is updating its scam text detection technology to spot hoaxes like these, which are among the most common types of text-related schemes according to the Federal Trade Commission.

Learns the normal patterns in network traffic data Automatically removes highly correlated features Detects anomalies based on reconstruction error Provides ...

Abstract: Zero-Shot Anomaly Detection (ZSAD) is a critical task that detects anomalies without any training samples from the target application, which is crucial for applications in diverse fields ...

Abstract: Log anomaly detection (LAD) is essential to ensure the safe and stable operation of Cyeber-physical systems. Although current LAD methods exhibit significant potential in addressing ...

The decoder then recovers the input data from the low-dimensional vectors via transposed convolution. Autoencoder is able to extract local features of images and apply these features to further tasks ...