Articole cu mandate pentru acces public - Yulong CaoAflați mai multe
Disponibile undeva: 12
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
Mandate: US National Science Foundation, US Department of Defense
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
Mandate: US National Science Foundation
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
Mandate: US National Science Foundation, US Department of Defense
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
Mandate: US National Science Foundation, US Department of Defense
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
Mandate: US National Science Foundation
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
Mandate: US National Science Foundation
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
Mandate: US National Science Foundation
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
Mandate: US National Science Foundation
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
Mandate: US National Science Foundation, US Department of Defense
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
Mandate: US National Science Foundation, US Department of Defense
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
Mandate: US National Science Foundation
Adversarial attacks on adaptive cruise control systems
Y Guo, T Sato, Y Cao, QA Chen, Y Cheng
Proceedings of Cyber-Physical Systems and Internet of Things Week 2023, 49-54, 2023
Mandate: US National Science Foundation
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