Sok: On the semantic ai security in autonomous driving J Shen, N Wang, Z Wan, Y Luo, T Sato, Z Hu, X Zhang, S Guo, Z Zhong, ... arXiv preprint arXiv:2203.05314, 2022 | 43 | 2022 |
Too afraid to drive: systematic discovery of semantic DoS vulnerability in autonomous driving planning under physical-world attacks Z Wan, J Shen, J Chuang, X Xia, J Garcia, J Ma, QA Chen Network and Distributed Systems Security (NDSS) Symposium 2022, 2022 | 41 | 2022 |
Doppelgänger test generation for revealing bugs in autonomous driving software Y Huai, Y Chen, S Almanee, T Ngo, X Liao, Z Wan, QA Chen, J Garcia 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 30 | 2023 |
Lateral-Direction Localization Attack in High-Level Autonomous Driving: Domain-Specific Defense Opportunity via Lane Detection S Junjie, L Yunpeng, W Ziwen, C Qi Alfred 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023 | 3 | 2023 |
Detecting data spoofing in connected vehicle based intelligent traffic signal control using infrastructure-side sensors and traffic invariants J Shen, Z Wan, Y Luo, Y Feng, ZM Mao, QA Chen 2023 IEEE Intelligent Vehicles Symposium (IV), 1-8, 2023 | 3 | 2023 |
Towards Automated Driving Violation Cause Analysis in Scenario-Based Testing for Autonomous Driving Systems Z Wan, Y Huai, Y Chen, J Garcia, QA Chen arXiv preprint arXiv:2401.10443, 2024 | | 2024 |
Poster: Towards Complete Computation Graph Generation for Security Assessment of ROS Applications Y Luo, Z Wan, QA Chen Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications …, 2022 | | 2022 |