Temporal sparse adversarial attack on sequence-based gait recognition | |
He, Ziwen1,2; Wang, Wei2,3; Dong, Jing2; Tan, Tieniu2 | |
发表期刊 | PATTERN RECOGNITION |
ISSN | 0031-3203 |
2023 | |
卷号 | 133页码:11 |
摘要 | 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. |
关键词 | Adversarial attack Gait recognition Temporal sparsity |
DOI | 10.1016/j.patcog.2022.109028 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Key Research and Development Pro-gram of China ; National Natural Science Foundation of China ; [2021YFC3320103] ; [61972395] |
项目资助者 | National Key Research and Development Pro-gram of China ; National Natural Science Foundation of China |
WOS研究方向 | Computer Science ; Engineering |
WOS类目 | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:000870987900007 |
出版者 | ELSEVIER SCI LTD |
七大方向——子方向分类 | 多模态智能 |
国重实验室规划方向分类 | 多模态协同认知 |
是否有论文关联数据集需要存交 | 否 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/50509 |
专题 | 模式识别实验室 |
通讯作者 | Wang, Wei |
作者单位 | 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 |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 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. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
PR_nomark.pdf(1435KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论