| 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 | 239 | 2019 |
| 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 | 87 | 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 | 72 | 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 | 23 | 2021 |
| 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 | 8 | 2020 |
| On the adversarial robustness of 3d point cloud classification J Sun, K Koenig, Y Cao, QA Chen, Z Mao | 7* | 2020 |
| 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 | 6 | 2017 |
| 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, 2021 | 3 | 2021 |
| 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 | 3 | 2020 |
| Security Analysis of Camera-LiDAR Fusion Against Black-Box Attacks on Autonomous Vehicles RS Hallyburton, Y Liu, Y Cao, ZM Mao, M Pajic arXiv preprint arXiv:2106.07098, 2021 | 2 | 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 | 2 | 2021 |
| Automated Tracking System For LiDAR Spoofing Attacks On Moving Targets Y Cao, J Ma, K Fu, R Sara, M Mao | 1 | 2021 |
| 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, ... | | |
Z. Morley Mao (茅斫青)University of MichiganVerified email at umich.edu
