A comprehensive survey of physical adversarial vulnerabilities in autonomous driving systems
Regular Papers|Updated:2025-05-06
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A comprehensive survey of physical adversarial vulnerabilities in autonomous driving systems
Enhanced Publication
面向自动驾驶系统的物理对抗脆弱性综述
“In the field of autonomous driving systems, a comprehensive survey of physical adversarial vulnerabilities has been conducted. The research divides attack and defense methods into three scenarios and focuses on various sensors in ADSs, establishing a taxonomy for adversarial defenses. This study discusses challenges and future directions in this field.”
Frontiers of Information Technology & Electronic EngineeringVol. 26, Issue 4, Pages: 510-533(2025)
Affiliations:
1.College of Intelligence and Computing, Tianjin University, Tianjin 300072, China
2.Tianjin Key Lab of Machine Learning, Tianjin 300072, China
3.CATARC Intelligent and Connected Technology Co., Ltd., Tianjin 300000, China
Shuai ZHAO, Boyuan ZHANG, Yucheng SHI, et al. A comprehensive survey of physical adversarial vulnerabilities in autonomous driving systems[J]. Frontiers of information technology & electronic engineering, 2025, 26(4): 510-533.
DOI:
Shuai ZHAO, Boyuan ZHANG, Yucheng SHI, et al. A comprehensive survey of physical adversarial vulnerabilities in autonomous driving systems[J]. Frontiers of information technology & electronic engineering, 2025, 26(4): 510-533. DOI: 10.1631/FITEE.2300867.
A comprehensive survey of physical adversarial vulnerabilities in autonomous driving systemsEnhanced Publication