| Temporal sparse adversarial attack on sequence-based gait recognition | |
He, Ziwen1,2; Wang, Wei2,3 ; Dong, Jing2; Tan, Tieniu2
| |
| Source Publication | PATTERN RECOGNITION
 |
| ISSN | 0031-3203 |
| 2023 | |
| Volume | 133Pages:11 |
| Corresponding Author | Wang, Wei(wwang@nlpr.ia.ac.cn) |
| Abstract | Gait recognition is widely used in social security applications due to its advantages in long-distance hu-man identification. Recently, sequence-based methods have achieved high accuracy by learning abundant temporal and spatial information. However, their robustness under adversarial attacks in an open world has not been clearly explored. In this paper, we demonstrate that the state-of-the-art gait recognition model is vulnerable to such attacks. To this end, we propose a novel temporal sparse adversarial attack method. Different from previous additive noise models which add perturbations on original samples, we employ a generative adversarial network based architecture to semantically generate adversarial high -quality gait silhouettes or video frames. Moreover, by sparsely substituting or inserting a few adversarial gait silhouettes, the proposed method ensures its imperceptibility and achieves a strong attack ability. The experimental results show that if only one-fortieth of the frames are attacked, the accuracy of the target model drops dramatically.(c) 2022 Elsevier Ltd. All rights reserved. |
| Keyword | Adversarial attack Gait recognition Temporal sparsity |
| DOI | 10.1016/j.patcog.2022.109028 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | National Key Research and Development Pro-gram of China ; National Natural Science Foundation of China ; [2021YFC3320103] ; [61972395] |
| Funding Organization | National Key Research and Development Pro-gram of China ; National Natural Science Foundation of China |
| WOS Research Area | Computer Science ; Engineering |
| WOS Subject | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| WOS ID | WOS:000870987900007 |
| Publisher | ELSEVIER SCI LTD |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ia.ac.cn/handle/173211/50509 |
| Collection | 智能感知与计算 |
| Corresponding Author | Wang, Wei |
| Affiliation | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Automat, Ctr Res Intelligent Percept & Comp, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Inst Automat, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China |
| First Author Affilication | Institute of Automation, Chinese Academy of Sciences |
| Corresponding Author Affilication | Institute of Automation, Chinese Academy of Sciences |
| Recommended Citation GB/T 7714 | He, Ziwen,Wang, Wei,Dong, Jing,et al. Temporal sparse adversarial attack on sequence-based gait recognition[J]. PATTERN RECOGNITION,2023,133:11. |
| APA | He, Ziwen,Wang, Wei,Dong, Jing,&Tan, Tieniu.(2023).Temporal sparse adversarial attack on sequence-based gait recognition.PATTERN RECOGNITION,133,11. |
| MLA | He, Ziwen,et al."Temporal sparse adversarial attack on sequence-based gait recognition".PATTERN RECOGNITION 133(2023):11. |
| Files in This Item: | There are no files associated with this item. | |||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment