Deep learning for anomaly detection

• Main Authors: PANG, Guansong, AGGARWAL, Charu, SHEN, Chunhua, SEBE, Nicu
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Deep learning; anomaly detection; feature extraction; learning systems; malware; modeling; Artificial Intelligence and Robotics; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/7213; https://ink.library.smu.edu.sg/context/sis_research/article/8216/viewcontent/Editorial_Deep_Learning_for_Anomaly_Detection_pvoa.pdf
• Institution: Singapore Management University

A nomaly detection aims at identifying data points which are rare or significantly different from the majority of data points. Many techniques are explored to build highly efficient and effective anomaly detection systems, but they are confronted with many difficulties when dealing with complex data...