Ningfei Wang
Orcid: 0000-0002-4458-7419
According to our database1,
Ningfei Wang
authored at least 21 papers
between 2018 and 2024.
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Bibliography
2024
Revisiting Physical-World Adversarial Attack on Traffic Sign Recognition: A Commercial Systems Perspective.
CoRR, 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
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