Ningfei Wang

According to our database1, Ningfei Wang authored at least 17 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Towards Robustness Analysis of E-Commerce Ranking System.
CoRR, 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
SoK: On the Semantic AI Security in Autonomous Driving.
CoRR, 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

Interpretable Deep Learning under Fire.
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
Interpretable Deep Learning under Fire.
CoRR, 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


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