Reconstruction Error-based Anomaly Detection with Few Outlying Examples

Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina

Reconstruction error-based neural architectures constitute a classical deep learning approach to anomaly detection which has shown great performances. It consists in training an Au…