Understanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack

Wang, H orcid.org/0000-0002-2281-5679, He, F, Peng, Z et al. (4 more authors) (Accepted: 2021) Understanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. The Conference on Computer Vision and Pattern Recognition, 14-19 Jun 2021, Online. IEEE . (In Press)

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Copyright, Publisher and Additional Information: Protected by copyright. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Dates:
  • Accepted: 1 March 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Funding Information:
FunderGrant number
EPSRC (Engineering and Physical Sciences Research Council)EP/R031193/1
EU - European Union899739
Depositing User: Symplectic Publications
Date Deposited: 11 Mar 2021 18:18
Last Modified: 25 Mar 2021 06:40
Status: In Press
Publisher: IEEE

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