Here're some resources about Sensor Spoofing
Intros:
- As for sensor spoofing of adversarial attacks, attackers could potentially send deceptive signals to an AV's sensors (such as LIDAR, RADAR, ultrasonic sensors) to trick the system into perceiving non-existent obstacles or ignoring real ones.
Towards robust {LiDAR-based} perception in autonomous driving: General black-box adversarial sensor attack and countermeasures [READ
]
paper link: here
citation:
@inproceedings{sun2020towards,
title={Towards robust $\{$LiDAR-based$\}$ perception in autonomous driving: General black-box adversarial sensor attack and countermeasures},
author={Sun, Jiachen and Cao, Yulong and Chen, Qi Alfred and Mao, Z Morley},
booktitle={29th USENIX Security Symposium (USENIX Security 20)},
pages={877--894},
year={2020}
}
paper link: here
citation:
@inproceedings{cao2019adversarial,
title={Adversarial sensor attack on lidar-based perception in autonomous driving},
author={Cao, Yulong and Xiao, Chaowei and Cyr, Benjamin and Zhou, Yimeng and Park, Won and Rampazzi, Sara and Chen, Qi Alfred and Fu, Kevin and Mao, Z Morley},
booktitle={Proceedings of the 2019 ACM SIGSAC conference on computer and communications security},
pages={2267--2281},
year={2019}
}
paper link: here
citation:
@article{nassi2019mobilbye,
title={MobilBye: attacking ADAS with camera spoofing},
author={Nassi, Dudi and Ben-Netanel, Raz and Elovici, Yuval and Nassi, Ben},
journal={arXiv preprint arXiv:1906.09765},
year={2019}
}
Can you trust autonomous vehicles: Contactless attacks against sensors of self-driving vehicle [READ
]
paper link: here
citation:
@article{yan2016can,
title={Can you trust autonomous vehicles: Contactless attacks against sensors of self-driving vehicle},
author={Yan, Chen and Xu, Wenyuan and Liu, Jianhao},
journal={Def Con},
volume={24},
number={8},
pages={109},
year={2016}
}