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Understanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack
[article]
2021
arXiv
pre-print
Action recognition has been heavily employed in many applications such as autonomous vehicles, surveillance, etc, where its robustness is a primary concern. In this paper, we examine the robustness of state-of-the-art action recognizers against adversarial attack, which has been rarely investigated so far. To this end, we propose a new method to attack action recognizers that rely on 3D skeletal motion. Our method involves an innovative perceptual loss that ensures the imperceptibility of the
arXiv:2103.05347v2
fatcat:tzj2jevedrgntpjyhs4nt6cqoa