Ningfei Wang
Orcid: 0000-0002-4458-7419
According to our database1,
Ningfei Wang authored at least 25 papers
between 2018 and 2026.
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Bibliography
2026
FlyTrap: Physical Distance-Pulling Attack Towards Camera-based Autonomous Target Tracking Systems.
Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026
2025
T2I-Based Physical-World Appearance Attack against Traffic Sign Recognition Systems in Autonomous Driving.
CoRR, November, 2025
Revisiting Physical-World Adversarial Attack on Traffic Sign Recognition: A Commercial Systems Perspective.
Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025
ControlLoc: Physical-World Hijacking Attack on Camera-based Perception in Autonomous Driving.
Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security, 2025
2024
ControlLoc: Physical-World Hijacking Attack on Visual Perception in Autonomous Driving.
CoRR, 2024
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
SlowTrack: Increasing the Latency of Camera-Based Perception in Autonomous Driving Using Adversarial Examples.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Intriguing Properties of Diffusion Models: A Large-Scale Dataset for Evaluating Natural Attack Capability in Text-to-Image Generative Models.
CoRR, 2023
WIP: Towards the Practicality of the Adversarial Attack on Object Tracking in Autonomous Driving.
Proceedings of the Inaugural International Symposium on Vehicle Security and Privacy, 2023
Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Invited: Waving the Double-Edged Sword: Building Resilient CAVs with Edge and Cloud Computing.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
2022
Poster: On the System-Level Effectiveness of Physical Object-Hiding Adversarial Attack in Autonomous Driving.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022
2021
Dirty Road Can Attack: Security of Deep Learning based Automated Lane Centering under Physical-World Attack.
Proceedings of the 30th USENIX Security Symposium, 2021
Demo: Security of Deep Learning based Automated Lane Centering under Physical-World Attack.
Proceedings of the IEEE Security and Privacy Workshops, 2021
Demo: Security of Camera-based Perception for Autonomous Driving under Adversarial Attack.
Proceedings of the IEEE Security and Privacy Workshops, 2021
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks.
Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021
2020
Hold Tight and Never Let Go: Security of Deep Learning based Automated Lane Centering under Physical-World Attack.
CoRR, 2020
Security of Deep Learning based Lane Keeping System under Physical-World Adversarial Attack.
CoRR, 2020
Proceedings of the 29th USENIX Security Symposium, 2020
2019
Rendered Private: Making GLSL Execution Uniform to Prevent WebGL-based Browser Fingerprinting.
Proceedings of the 28th USENIX Security Symposium, 2019
2018
Integration of Static and Dynamic Code Stylometry Analysis for Programmer De-anonymization.
Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security, 2018