8 citations · 9 across the 2 of their papers we have counts for
4 papers · 1 filter
Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack
Yunfeng Diao, He Wang, Tianjia Shao +4
Human Activity Recognition (HAR) has been employed in a wide range of applications, e.g. self-driving cars, where safety and lives are at stake. Recently, the robustness of skeleto…
Understanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack
He Wang, Feixiang He, Zhexi Peng +4
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 exami…
BASAR:Black-box Attack on Skeletal Action Recognition
Yunfeng Diao, Tianjia Shao, Yong-Liang Yang +2
Skeletal motion plays a vital role in human activity recognition as either an independent data source or a complement. The robustness of skeleton-based activity recognizers has bee…
SMART: Skeletal Motion Action Recognition aTtack
He Wang, Feixiang He, Zhexi Peng +4
Adversarial attack has inspired great interest in computer vision, by showing that classification-based solutions are prone to imperceptible attack in many tasks. In this paper, we…