几篇异常检测领域的综述论文_deep learning approaches for anomaly-based intrusi

A survey of single-scene video anomaly detection.TPAMI, 2022.

Deep learning for anomaly detection: A review. ACM Computing Surveys, 2022.

A unifying review of deep and shallow anomaly detection. Proceedings of the IEEE, 2020.

A review on outlier/anomaly detection in time series data. ACM Computing Surveys, 2022.

Anomaly detection in autonomous driving: A survey. CVPR, 2022.

A comprehensive survey on graph anomaly detection with deep learning. TKDE, 2021.

A survey on explainable anomaly detection. arXiv, 2022.

Deep learning approaches for anomaly-based intrusion detection systems: A survey, taxonomy, and open issues. KBS, 2020.

Deep learning-based anomaly detection in cyber-physical systems: Progress and oportunities. ACM Computing Surveys, 2022.

GAN-based anomaly detection: A review. Neurocomputing, 2022.

Unsupervised anomaly detection in time-series: An extensive evaluation and analysis of state-of-the-art methods. arXiv, 2022.

Deep learning for time series anomaly detection: A survey. arXiv, 2022.

A survey of deep learning-based network anomaly detection. Cluster Computing, 2019.

Survey on anomaly detection using data mining techniques. Procedia Computer Science, 2015.

Graph based anomaly detection and description: A survey. Data Mining and Knowledge Discovery, 2015.

Domain anomaly detection in machine perception: A system architecture and taxonomy. TPAMI, 2014.

Graph-based time-series anomaly detection: A Survey. arXiv, 2023.

Weakly supervised anomaly detection: A survey. arXiv, 2023.

mbd.pub/o/GeBENHAGEN

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