Survey on adversarial attacks and defenses for object detection
In response to recent developments in adversarial attacks and defenses for object detection, relevant terms and concepts associated with object detection and adversarial learning were first introduced.Subsequently, according to the evolution process of the methods, a comprehensive retrospective anal...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2023-11-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023223/ |
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| _version_ | 1841540010954719232 |
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| author | Xinxin WANG Jing CHEN Kun HE Zijun ZHANG Ruiying DU Qiao LI Jisi SHE |
| author_facet | Xinxin WANG Jing CHEN Kun HE Zijun ZHANG Ruiying DU Qiao LI Jisi SHE |
| author_sort | Xinxin WANG |
| collection | DOAJ |
| description | In response to recent developments in adversarial attacks and defenses for object detection, relevant terms and concepts associated with object detection and adversarial learning were first introduced.Subsequently, according to the evolution process of the methods, a comprehensive retrospective analysis was conducted on the research achievements in the realm of adversarial attacks and defense methods for object detection.Particularly, attack methods and defense strategies were categorized based on the attacker knowledge and the deep learning lifecycle.Furthermore, an in-depth analysis and discussion of the characteristics and relationships among different approaches were provided.Lastly, considering the strengths and limitations of existing research, the imminent challenges and directions were summarized for further exploration in adversarial attack and defense of object detection. |
| format | Article |
| id | doaj-art-91d126db32174817b7c88a8e5d2a337e |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2023-11-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-91d126db32174817b7c88a8e5d2a337e2025-01-14T06:28:21ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2023-11-014426027759389972Survey on adversarial attacks and defenses for object detectionXinxin WANGJing CHENKun HEZijun ZHANGRuiying DUQiao LIJisi SHEIn response to recent developments in adversarial attacks and defenses for object detection, relevant terms and concepts associated with object detection and adversarial learning were first introduced.Subsequently, according to the evolution process of the methods, a comprehensive retrospective analysis was conducted on the research achievements in the realm of adversarial attacks and defense methods for object detection.Particularly, attack methods and defense strategies were categorized based on the attacker knowledge and the deep learning lifecycle.Furthermore, an in-depth analysis and discussion of the characteristics and relationships among different approaches were provided.Lastly, considering the strengths and limitations of existing research, the imminent challenges and directions were summarized for further exploration in adversarial attack and defense of object detection.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023223/object detectionadversarial attacksadversarial defensesrobustnesstransferability |
| spellingShingle | Xinxin WANG Jing CHEN Kun HE Zijun ZHANG Ruiying DU Qiao LI Jisi SHE Survey on adversarial attacks and defenses for object detection Tongxin xuebao object detection adversarial attacks adversarial defenses robustness transferability |
| title | Survey on adversarial attacks and defenses for object detection |
| title_full | Survey on adversarial attacks and defenses for object detection |
| title_fullStr | Survey on adversarial attacks and defenses for object detection |
| title_full_unstemmed | Survey on adversarial attacks and defenses for object detection |
| title_short | Survey on adversarial attacks and defenses for object detection |
| title_sort | survey on adversarial attacks and defenses for object detection |
| topic | object detection adversarial attacks adversarial defenses robustness transferability |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023223/ |
| work_keys_str_mv | AT xinxinwang surveyonadversarialattacksanddefensesforobjectdetection AT jingchen surveyonadversarialattacksanddefensesforobjectdetection AT kunhe surveyonadversarialattacksanddefensesforobjectdetection AT zijunzhang surveyonadversarialattacksanddefensesforobjectdetection AT ruiyingdu surveyonadversarialattacksanddefensesforobjectdetection AT qiaoli surveyonadversarialattacksanddefensesforobjectdetection AT jisishe surveyonadversarialattacksanddefensesforobjectdetection |