Follow
Ningfei Wang
Ningfei Wang
Verified email at uci.edu - Homepage
Title
Cited by
Cited by
Year
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
1962021
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
1862020
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
1162021
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
332022
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
312019
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
212020
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
182018
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
172020
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
132023
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
122021
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
122020
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
82024
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
72023
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
72022
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
62023
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
62021
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
42022
Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models
T Sato, J Yue, N Chen, N Wang, QA Chen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
3*2024
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
32021
ControlLoc: Physical-World Hijacking Attack on Visual Perception in Autonomous Driving
C Ma, N Wang, Z Zhao, Q Wang, QA Chen, C Shen
arXiv preprint arXiv:2406.05810, 2024
2024
The system can't perform the operation now. Try again later.
Articles 1–20