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Takami Sato
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Dirty Road Can Attack: Security of Deep Learning based Automated Lane Centering under Physical-World Attack
T Sato, J Shen, N Wang, YJ Jia, X Lin, QA Chen
Proceedings of the 29th USENIX Security Symposium, 2021, 2021
38*2021
Security of deep learning based lane keeping system under physical-world adversarial attack
T Sato, J Shen, N Wang, YJ Jia, X Lin, QA Chen
arXiv preprint arXiv:2003.01782, 2020
102020
Wip: End-to-end analysis of adversarial attacks to automated lane centering systems
H Liang, R Jiao, T Sato, J Shen, QA Chen, Q Zhu
Workshop on Automotive and Autonomous Vehicle Security (AutoSec'21), 2021
42021
Security of Camera-based Perception for Autonomous Driving under Adversarial Attack
C DiPalma, N Wang, T Sato, QA Chen
2021 IEEE Security and Privacy Workshops (SPW), 243-243, 2021
22021
SoK: On the Semantic AI Security in Autonomous Driving
J Shen, N Wang, Z Wan, Y Luo, T Sato, Z Hu, X Zhang, S Guo, Z Zhong, ...
arXiv preprint arXiv:2203.05314, 2022
12022
End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering
R Jiao, H Liang, T Sato, J Shen, QA Chen, Q Zhu
2021 IEEE Intelligent Vehicles Symposium (IV), 266-273, 2021
12021
On Robustness of Lane Detection Models to Physical-World Adversarial Attacks in Autonomous Driving
T Sato, QA Chen
arXiv preprint arXiv:2107.02488, 2021
12021
WIP: Deployability Improvement, Stealthiness User Study, and Safety Impact Assessment on Real Vehicle for Dirty Road Patch Attack
T Sato, J Shen, N Wang, YJ Jia, X Lin, QA Chen
Workshop on Automotive and Autonomous Vehicle Security (AutoSec) 2021, 25, 2021
12021
Semi-supervised Semantics-guided Adversarial Training for Trajectory Prediction
R Jiao, X Liu, T Sato, QA Chen, Q Zhu
arXiv preprint arXiv:2205.14230, 2022
2022
Towards Driving-Oriented Metric for Lane Detection Models
T Sato, QA Chen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
2022
Security of Deep Learning based Automated Lane Centering under Physical-World Attack
T Sato, J Shen, N Wang, YJ Jia, X Lin, QA Chen
2021 IEEE Security and Privacy Workshops (SPW), 244-244, 2021
2021
Supplementary Materials: Towards Driving-Oriented Metric for Lane Detection Models
T Sato, QA Chen
WIP: On Robustness of Lane Detection Models to Physical-World Adversarial Attacks
T Sato, QA Chen
Remote Adversarial Attack on Automated Lane Centering
Y Cao, Y Guo, T Sato, QA Chen, ZM Mao, Y Cheng
An Adversarial Attack on DNN-based Adaptive Cruise Control Systems
Y Guo, C DiPalma, T Sato, Y Cao, QA Chen, YC NIO
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