中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Adversarial Attacks on Scene Graph Generation

文献类型:期刊论文

作者Zhao, Mengnan1; Zhang, Lihe2; Wang, Wei3; Kong, Yuqiu1; Yin, Baocai1
刊名IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
出版日期2024
卷号19页码:3210-3225
关键词Task analysis Object detection Windows Visualization Mirrors Predictive models Perturbation methods Scene graph generation adversarial attack bounding box relabeling two-step weighted attack
ISSN号1556-6013
DOI10.1109/TIFS.2024.3360880
通讯作者Zhang, Lihe(zhanglihe@dlut.edu.cn)
英文摘要Scene graph generation (SGG) effectively improves semantic understanding of the visual world. However, the recent interest of researchers focuses on enhancing SGG in non-adversarial settings, which raises our curiosity about the adversarial robustness of SGG models. To bridge this gap, we perform adversarial attacks on two typical SGG tasks, Scene Graph Detection (SGDet) and Scene Graph Classification (SGCls). Specifically, we initially propose a bounding box relabeling method to reconstruct reasonable attack targets for SGCls. It solves the inconsistency between the specified bounding boxes and the scene graphs selected as attack targets. Subsequently, we introduce a two-step weighted attack by removing the predicted objects and relational triples that affect attack performance, which significantly increases the success rate of adversarial attacks on two SGG tasks. Extensive experiments demonstrate the effectiveness of our methods on five popular SGG models and four adversarial attacks.
WOS关键词NETWORK
资助项目National Key Research and Development Program of China
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:001174295900007
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Key Research and Development Program of China
源URL[http://ir.ia.ac.cn/handle/173211/58376]  
专题多模态人工智能系统全国重点实验室
通讯作者Zhang, Lihe
作者单位1.Dalian Univ Technol, Sch Comp Sci & Technol, Dalian 116000, Peoples R China
2.Dalian Univ Technol, Sch Informat & Commun Engn, Dalian 116024, Peoples R China
3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Zhao, Mengnan,Zhang, Lihe,Wang, Wei,et al. Adversarial Attacks on Scene Graph Generation[J]. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY,2024,19:3210-3225.
APA Zhao, Mengnan,Zhang, Lihe,Wang, Wei,Kong, Yuqiu,&Yin, Baocai.(2024).Adversarial Attacks on Scene Graph Generation.IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY,19,3210-3225.
MLA Zhao, Mengnan,et al."Adversarial Attacks on Scene Graph Generation".IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 19(2024):3210-3225.

入库方式: OAI收割

来源:自动化研究所

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