Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems. (arXiv:2204.03141v1 [cs.CV])

Anomaly detection in videos is an important computer vision problem with
various applications including automated video surveillance. Although
adversarial attacks on image understanding models have been heavily
investigated, there is not much work on adversarial machine learning targeting
video understanding models and no previous work which focuses on video anomaly
detection. To this end, we investigate an adversarial machine learning attack
against video anomaly detection systems, that can be implemented via an
easy-to-perform cyber-attack. Since surveillance cameras are usually connected …

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