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 | 657 | 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 | 294 | 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 | 277 | 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 | 191 | 2019 |
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 | 82 | 2023 |
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 | 82 | 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 | 74 | 2022 |
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 | 68 | 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 | 54 | 2021 |
Dolphins: Multimodal language model for driving Y Ma, Y Cao, J Sun, M Pavone, C Xiao European Conference on Computer Vision, 403-420, 2024 | 46 | 2024 |
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 | 43 | 2023 |
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 | 37 | 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 | 28 | 2020 |
Realgen: Retrieval augmented generation for controllable traffic scenarios W Ding, Y Cao, D Zhao, C Xiao, M Pavone European Conference on Computer Vision, 93-110, 2024 | 22 | 2024 |
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 | 18 | 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 | 15 | 2020 |
WIPI: A New Web Threat for LLM-Driven Web Agents F Wu, S Wu, Y Cao, C Xiao arXiv preprint arXiv:2402.16965, 2024 | 14 | 2024 |
Language-Image Models with 3D Understanding JH Cho, B Ivanovic, Y Cao, E Schmerling, Y Wang, X Weng, B Li, Y You, ... arXiv preprint arXiv:2405.03685, 2024 | 12 | 2024 |
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 | 11 | 2021 |
Reinforcement learning with human feedback for realistic traffic simulation Y Cao, B Ivanovic, C Xiao, M Pavone 2024 IEEE International Conference on Robotics and Automation (ICRA), 14428 …, 2024 | 9 | 2024 |