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Junjie Shen
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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
422020
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
392020
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
272020
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
262021
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
232019
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
202019
A Study on Deep Belief Net for Branch Prediction
Y Mao, J Shen, X Gui
IEEE Access 6, 10779-10786, 2017
172017
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
172017
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
112020
Exploring convolution neural network for branch prediction
Y Mao, H Zhou, X Gui, J Shen
IEEE Access 8, 152008-152016, 2020
102020
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
92020
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
72021
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
52019
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
32021
Poster: Security Analysis of Multi-Sensor Fusion based Localization in Autonomous Vehicles
J Shen, JY Won, S Liu, QA Chen, A Veidenbaum
NDSS, 2019
22019
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
12022
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
12021
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
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