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Ningfei Wang
Ningfei Wang
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Title
Cited by
Cited by
Year
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
932020
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
332021
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
282021
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
172019
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
122020
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
122018
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
102020
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
MLSys 2020, Demonstration Track, 0
4*
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
22021
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
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
12021
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
Poster: Infrastructure-Aided Defense for Autonomous Driving Systems: Opportunities and Challenges
Y Luo, N Wang, B Yu, S Liu, QA Chen
WIP: Infrastructure-Aided Defense for Autonomous Driving Systems: Opportunities and Challenges
Y Luo, N Wang, B Yu, S Liu, QA Chen
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