Yulong Cao
Yulong Cao
Research Scientist, NVIDIA Research; Ph.D. Umich
Verified email at - Homepage
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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
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
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
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
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 22), 1903-1920, 2022
Advdo: Realistic adversarial attacks for trajectory prediction
Y Cao, C Xiao, A Anandkumar, D Xu, M Pavone
European Conference on Computer Vision, 36-52, 2022
You can't see me: Physical removal attacks on {lidar-based} autonomous vehicles driving frameworks
Y Cao, SH Bhupathiraju, P Naghavi, T Sugawara, ZM Mao, S Rampazzi
32nd USENIX Security Symposium (USENIX Security 23), 2993-3010, 2023
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
On adversarial robustness of 3d point cloud classification under adaptive attacks
J Sun, K Koenig, Y Cao, QA Chen, ZM Mao
arXiv preprint arXiv:2011.11922, 2020
Robust trajectory prediction against adversarial attacks
Y Cao, D Xu, X Weng, Z Mao, A Anandkumar, C Xiao, M Pavone
Conference on Robot Learning, 128-137, 2023
Language-guided traffic simulation via scene-level diffusion
Z Zhong, D Rempe, Y Chen, B Ivanovic, Y Cao, D Xu, M Pavone, B Ray
Conference on Robot Learning, 144-177, 2023
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
Dolphins: Multimodal language model for driving
Y Ma, Y Cao, J Sun, M Pavone, C Xiao
arXiv preprint arXiv:2312.00438, 2023
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
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
Automated tracking system for LiDAR spoofing attacks on moving targets
Y Cao, J Ma, K Fu, R Sara, M Mao
Proc. Workshop Automot. Auto. Vehicle Secur.(AutoSec), 1, 2021
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
Realgen: Retrieval augmented generation for controllable traffic scenarios
W Ding, Y Cao, D Zhao, C Xiao, M Pavone
arXiv preprint arXiv:2312.13303, 2023
WIPI: A New Web Threat for LLM-Driven Web Agents
F Wu, S Wu, Y Cao, C Xiao
arXiv preprint arXiv:2402.16965, 2024
Adopt: Lidar spoofing attack detection based on point-level temporal consistency
M Cho, Y Cao, Z Zhou, ZM Mao
arXiv preprint arXiv:2310.14504, 2023
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