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Backdoor Defense in Transportation Cyber-Physical Systems Using Frequency Domain Hybrid Distillation

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成果类型:
期刊论文
作者:
Hu, Bin;Guo, Kehua;Wu, Zheng;Wen, Xianhong;Zhou, Xiaokang
通讯作者:
Guo, KH
作者机构:
[Hu, Bin] Changsha Univ Sci & Technol, Sch Comp & Commun Engn, Changsha 410076, Hunan, Peoples R China.
[Guo, Kehua; Wu, Zheng; Hu, Bin; Wen, Xianhong; Guo, KH] Cent South Univ, Sch Comp Sci & Engn, Changsha 410083, Peoples R China.
[Guo, Kehua; Guo, KH] Cent South Univ, Furong Lab, Changsha 410083, Peoples R China.
[Zhou, Xiaokang] Kansai Univ, Fac Business Data Sci, Osaka 5650823, Japan.
[Zhou, Xiaokang] RIKEN, RIKEN Ctr Adv Intelligence Project, Tokyo 1030027, Japan.
通讯机构:
[Guo, KH ] C
Cent South Univ, Sch Comp Sci & Engn, Changsha 410083, Peoples R China.
Cent South Univ, Furong Lab, Changsha 410083, Peoples R China.
语种:
英文
关键词:
Frequency-domain analysis;Data models;Transportation;Training;Safety;Security;Accuracy;Trojan horses;Image reconstruction;Feature extraction;Traffic safety;frequency domain distillation;backdoor models
期刊:
IEEE Transactions on Intelligent Transportation Systems
ISSN:
1524-9050
年:
2025
页码:
1-10
基金类别:
10.13039/501100001809-National Natural Science Foundation of China (Grant Number: U24A20333 and 62472443) 10.13039/501100012166-National Key Research and Development Program of China (Grant Number: 2023ZD0508201) Hunan Provincial Natural Science Foundation (Grant Number: 2024JJ3032) Frontier Cross Project of Central South University (Grant Number: 2023QYJC008) International Science and Technology Innovation Joint Base of Machine Vision and Medical Image Processing in Hunan Province (Grant Number: 2021CB1013)
机构署名:
本校为第一机构
院系归属:
计算机与通信工程学院
摘要:
In the context of transportation cyber-physical systems (T-CPS), backdoor attacks leveraging traffic images have emerged as a significant security threat. As T-CPS increasingly relies on visual information, such as real-time images captured by traffic cameras, for tasks like traffic sign recognition and autonomous driving, the risk of image-based backdoor attacks has grown substantially. Although various detection-based defense techniques have shown some success in identifying backdoored models, they often fail to fully eliminate backdoor effects, leaving residual security risks. To address th...

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