Defending Black-box Skeleton-based Human Activity Classifiers

Wang, H orcid.org/0000-0002-2281-5679, Diao, Y, Tan, Z et al. (1 more author) (2023) Defending Black-box Skeleton-based Human Activity Classifiers. In: Proceedings of the AAAI Conference on Artificial Intelligence. The 37th AAAI conference on Aritificial Intelligence, 07-14 Feb 2023, Washington DC, USA. AAAI , Washington, DC , pp. 2546-2554. ISBN 978-1-57735-880-0

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Keywords: CV: Adversarial Attacks & Robustness, CV: Motion & Tracking
Dates:
  • Published: 27 June 2023
  • Published (online): 26 June 2023
  • Accepted: 19 November 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Funding Information:
Funder
Grant number
EU - European Union
899739
Depositing User: Symplectic Publications
Date Deposited: 14 Dec 2022 15:31
Last Modified: 20 Feb 2024 09:28
Published Version: https://ojs.aaai.org/index.php/AAAI/article/view/2...
Status: Published
Publisher: AAAI
Identification Number: 10.1609/aaai.v37i2.25352
Open Archives Initiative ID (OAI ID):

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