Toward explainable deep anomaly detection

• Main Authors: PANG, Guansong, AGGARWAL, Charu
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: anomaly detection; deep learning; anomaly explanation; explainable machine learning; anomaly localization; outlying feature selection; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/7020; https://ink.library.smu.edu.sg/context/sis_research/article/8023/viewcontent/3447548.3470794.pdf
• Institution: Singapore Management University

Anomaly explanation, also known as anomaly localization, is as important as, if not more than, anomaly detection in many realworld applications. However, it is challenging to build explainable detection models due to the lack of anomaly-supervisory information and the unbounded nature of anomaly; mo...