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Yulong Cao
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Adversarial sensor attack on lidar-based perception in autonomous driving
Y Cao, C Xiao, B Cyr, Y Zhou, W Park, S Rampazzi, QA Chen, K Fu, ...
Proceedings of the 2019 ACM SIGSAC conference on computer and communications …, 2019
2642019
Adversarial objects against lidar-based autonomous driving systems
Y Cao, C Xiao, D Yang, J Fang, R Yang, M Liu, B Li
arXiv preprint arXiv:1907.05418, 2019
912019
Towards robust {LiDAR-based} perception in autonomous driving: General black-box adversarial sensor attack and countermeasures
J Sun, Y Cao, QA Chen, ZM Mao
29th USENIX Security Symposium (USENIX Security 20), 877-894, 2020
852020
Invisible for both camera and lidar: Security of multi-sensor fusion based perception in autonomous driving under physical-world attacks
Y Cao, N Wang, C Xiao, D Yang, J Fang, R Yang, QA Chen, M Liu, B Li
2021 IEEE Symposium on Security and Privacy (SP), 176-194, 2021
332021
On the adversarial robustness of 3d point cloud classification
J Sun, K Koenig, Y Cao, QA Chen, Z Mao
11*2020
AVGuardian: Detecting and Mitigating Publish-Subscribe Overprivilege for Autonomous Vehicle Systems
DK Hong, J Kloosterman, Y Jin, Y Cao, QA Chen, S Mahlke, ZM Mao
2020 IEEE European Symposium on Security and Privacy (EuroS&P), 445-459, 2020
92020
Adversarially robust 3d point cloud recognition using self-supervisions
J Sun, Y Cao, CB Choy, Z Yu, A Anandkumar, ZM Mao, C Xiao
Advances in Neural Information Processing Systems 34, 15498-15512, 2021
72021
Client-side name collision vulnerability in the new gtld era: A systematic study
QA Chen, M Thomas, E Osterweil, Y Cao, J You, ZM Mao
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications …, 2017
72017
Security analysis of camera-lidar fusion against black-box attacks on autonomous vehicles
RS Hallyburton, Y Liu, Y Cao, ZM Mao, M Pajic
31st USENIX Security Symposium (USENIX SECURITY), 2022
52022
3d adversarial object against msf-based perception in autonomous driving
Y Cao, N Wang, C Xiao, D Yang, J Fang, R Yang, QA Chen, M Liu, B Li
Proceedings of the 3rd Conference on Machine Learning and Systems, 2020
42020
Improving adversarial robustness in 3D point cloud classification via self-supervisions
J Sun, Y Cao, C Choy, Z Yu, C Xiao, A Anandkumar, ZM Mao
International Conference on Machine Learning Workshop (ICMLW) 1, 2021
22021
Automated Tracking System For LiDAR Spoofing Attacks On Moving Targets
Y Cao, J Ma, K Fu, R Sara, M Mao
12021
Robust Trajectory Prediction against Adversarial Attacks
Y Cao, D Xu, X Weng, Z Mao, A Anandkumar, C Xiao, M Pavone
arXiv preprint arXiv:2208.00094, 2022
2022
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
Transferable Adversarial Attacks on Deep Reinforcement Learning with Domain Randomization
X Pan, Y Cao, X Wu, E Zelikman, C Xiao, Y Sui, R Chakraborty, ...
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