| Drift with Devil: Security of Multi-Sensor Fusion based Localization in High-Level Autonomous Driving under GPS Spoofing J Shen, JY Won, Z Chen, QA Chen 29th {USENIX} Security Symposium ({USENIX} Security 20), 2020 | 42 | 2020 |
| Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object Tracking Y Jia, Y Lu, J Shen, QA Chen, Z Zhong, T Wei International Conference on Learning Representations (ICLR), 2020 | 39 | 2020 |
| A Comprehensive Study of Autonomous Vehicle Bugs J Garcia, Y Feng, J Shen, S Almanee, Y Xia, QA Chen International Conference on Software Engineering, 2020 | 27 | 2020 |
| 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 | 26 | 2021 |
| LXDs: Towards Isolation of Kernel Subsystems V Narayanan, A Balasubramanian, C Jacobsen, S Spall, S Bauer, ... 2019 {USENIX} Annual Technical Conference ({USENIX}{ATC} 19), 269-284, 2019 | 23 | 2019 |
| Fooling detection alone is not enough: First adversarial attack against multiple object tracking Y Jia, Y Lu, J Shen, QA Chen, Z Zhong, T Wei arXiv preprint arXiv:1905.11026, 2019 | 20 | 2019 |
| A Study on Deep Belief Net for Branch Prediction Y Mao, J Shen, X Gui IEEE Access 6, 10779-10786, 2017 | 17 | 2017 |
| CAMFAS: A compiler approach to mitigate fault attacks via enhanced SIMDization Z Chen, J Shen, A Nicolau, A Veidenbaum, NF Ghalaty, R Cammarota 2017 Workshop on Fault Diagnosis and Tolerance in Cryptography (FDTC), 57-64, 2017 | 17 | 2017 |
| 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, 2020 | 11 | 2020 |
| Exploring convolution neural network for branch prediction Y Mao, H Zhou, X Gui, J Shen IEEE Access 8, 152008-152016, 2020 | 10 | 2020 |
| 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 | 9 | 2020 |
| Fooling Perception via Location: A Case of Region-of-Interest Attacks on Traffic Light Detection in Autonomous Driving K Tang, J Shen, QA Chen Workshop on Automotive and Autonomous Vehicle Security (AutoSec), 2021 | 7 | 2021 |
| Combining prefetch control and cache partitioning to improve multicore performance G Sun, J Shen, AV Veidenbaum 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2019 | 5 | 2019 |
| Wip: End-to-end analysis of adversarial attacks to automated lane centering systems H Liang, R Jiao, T Sato, J Shen, QA Chen, Q Zhu Workshop on Automotive and Autonomous Vehicle Security (AutoSec'21), 2021 | 3 | 2021 |
| Poster: Security Analysis of Multi-Sensor Fusion based Localization in Autonomous Vehicles J Shen, JY Won, S Liu, QA Chen, A Veidenbaum NDSS, 2019 | 2 | 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 | 1 | 2022 |
| End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering R Jiao, H Liang, T Sato, J Shen, QA Chen, Q Zhu 2021 IEEE Intelligent Vehicles Symposium (IV), 266-273, 2021 | 1 | 2021 |
| Demo: Attacking Multi-Sensor Fusion based Localization in High-Level Autonomous Driving J Shen, JY Won, Z Chen, QA Chen Workshop on Automotive and Autonomous Vehicle Security (AutoSec), 2021 | 1* | 2021 |
| 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 arXiv preprint arXiv:2201.04610, 2022 | | 2022 |
| 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 | | 2021 |
Takami SatoUniversity of California, IrvineVerified email at uci.edu
