Deep learning for anomaly detection: Challenges, methods, and opportunities

• Main Authors: PANG, Guansong, CAO, Longbing, AGGARWAL, Charu
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: anomaly detection; deep learning; neural networks; outlier detection; representation learning; novelty detection; Artificial Intelligence and Robotics; OS and Networks
• Online Access: https://ink.library.smu.edu.sg/sis_research/7057; https://ink.library.smu.edu.sg/context/sis_research/article/8060/viewcontent/3437963.3441659.pdf
• Institution: Singapore Management University

In this tutorial we aim to present a comprehensive survey of the advances in deep learning techniques specifically designed for anomaly detection (deep anomaly detection for short). Deep learning has gained tremendous success in transforming many data mining and machine learning tasks, but popular d...