| Interpretable deep learning under fire X Zhang, N Wang, H Shen, S Ji, X Luo, T Wang 29th {USENIX} Security Symposium ({USENIX} Security 20), 2020 | 172 | 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 | 165 | 2021 |
| Dirty Road Can Attack: Security of Deep Learning based Automated Lane Centering under Physical-World Attack T Sato, J Shen, N Wang, Y Jia, X Lin, QA Chen 30th {USENIX} Security Symposium ({USENIX} Security 21), 3309-3326, 2021 | 103 | 2021 |
| Rendered Private: Making {GLSL} Execution Uniform to Prevent WebGL-based Browser Fingerprinting S Wu, S Li, Y Cao, N Wang 28th {USENIX} Security Symposium ({USENIX} Security 19), 1645-1660, 2019 | 28 | 2019 |
| 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 | 25 | 2022 |
| Hold tight and never let go: Security of deep learning based automated lane centering under physical-world attack T Sato, J Shen, N Wang, YJ Jia, X Lin, QA Chen arXiv preprint arXiv:2009.06701 2, 2020 | 21 | 2020 |
| Integration of Static and Dynamic Code Stylometry Analysis for Programmer De-anonymization N Wang, S Ji, T Wang Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security …, 2018 | 18 | 2018 |
| Security of Deep Learning based Lane Keeping System under Physical-World Adversarial Attack T Sato, J Shen, N Wang, YJ Jia, X Lin, QA Chen arXiv preprint arXiv:2003.01782, 2020 | 14 | 2020 |
| 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 | 12 | 2020 |
| Security of Camera-based Perception for Autonomous Driving under Adversarial Attack C DiPalma, N Wang, T Sato, QA Chen 2021 IEEE Security and Privacy Workshops (SPW), 243-243, 2021 | 9 | 2021 |
| Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack N Wang, Y Luo, T Sato, K Xu, QA Chen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 8 | 2023 |
| Waving the Double-Edged Sword: Building Resilient CAVs with Edge and Cloud Computing X Liu, Y Luo, A Goeckner, T Chakraborty, R Jiao, N Wang, Y Wang, T Sato, ... 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-4, 2023 | 6 | 2023 |
| WIP: Towards the Practicality of the Adversarial Attack on Object Tracking in Autonomous Driving C Ma, N Wang, QA Chen, C Shen ISOC Symposium on Vehicle Security and Privacy (VehicleSec), 2023 | 6 | 2023 |
| Poster: On the System-Level Effectiveness of Physical Object-Hiding Adversarial Attack in Autonomous Driving N Wang, Y Luo, T Sato, K Xu, QA Chen Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications …, 2022 | 6 | 2022 |
| WIP: Deployability Improvement, Stealthiness User Study, and Safety Impact Assessment on Real Vehicle for Dirty Road Patch Attack T Sato, J Shen, N Wang, YJ Jia, X Lin, QA Chen Workshop on Automotive and Autonomous Vehicle Security (AutoSec) 2021, 25, 2021 | 6 | 2021 |
| WIP: Infrastructure-Aided Defense for Autonomous Driving Systems: Opportunities and Challenges Y Luo, N Wang, B Yu, S Liu, QA Chen NDSS Workshop on Automotive and Autonomous Vehicle Security (AutoSec), 2022 | 4 | 2022 |
| Slowtrack: Increasing the latency of camera-based perception in autonomous driving using adversarial examples C Ma, N Wang, QA Chen, C Shen Proceedings of the AAAI Conference on Artificial Intelligence 38 (5), 4062-4070, 2024 | 2 | 2024 |
| Intriguing Properties of Diffusion Models: A Large-Scale Dataset for Evaluating Natural Attack Capability in Text-to-Image Generative Models T Sato, J Yue, N Chen, N Wang, QA Chen arXiv preprint arXiv:2308.15692, 2023 | 2 | 2023 |
| Security of Deep Learning based Automated Lane Centering under Physical-World Attack T Sato, J Shen, N Wang, YJ Jia, X Lin, QA Chen 2021 IEEE Security and Privacy Workshops (SPW), 244-244, 2021 | 2 | 2021 |
| A Cross-Verification Approach with Publicly Available Map for Detecting Off-Road Attacks against Lane Detection Systems T Sato, N Wang, Y Cheng, QA Chen ISOC Symposium on Vehicle Security and Privacy (VehicleSec), 2024 | | 2024 |
Alfred ChenAssistant Professor, University of California, IrvineVerified email at uci.edu
