Ningfei Wang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Security Issues

Ubiquitous Computing

Diffusion Models

Top Venues

USENIX Security Symposium

IEEE Symposium on Security and Privacy

Publications

Ningfei Wang, Yupin Huang, Han Cheng, Jiri Gesi, Xiaojie Wang, Vivek Mittal
Towards Robustness Analysis of E-Commerce Ranking System. CoRR (2024)
Chen Ma, Ningfei Wang, Qi Alfred Chen, Chao Shen
SlowTrack: Increasing the Latency of Camera-Based Perception in Autonomous Driving Using Adversarial Examples. AAAI (2024)
Ningfei Wang, Yupin Huang, Han Cheng, Jiri Gesi, Xiaojie Wang, Vivek Mittal
Towards Robustness Analysis of E-Commerce Ranking System. WWW (Companion Volume) (2024)
Chen Ma, Ningfei Wang, Zhengyu Zhao, Qian Wang, Qi Alfred Chen, Chao Shen
ControlLoc: Physical-World Hijacking Attack on Visual Perception in Autonomous Driving. CoRR (2024)
Xiangguo Liu, Yunpeng Luo, Anthony Goeckner, Trishna Chakraborty, Ruochen Jiao, Ningfei Wang, Yixuan Wang, Takami Sato, Qi Alfred Chen, Qi Zhu
Invited: Waving the Double-Edged Sword: Building Resilient CAVs with Edge and Cloud Computing. DAC (2023)
Chen Ma, Ningfei Wang, Qi Alfred Chen, Chao Shen
SlowTrack: Increasing the Latency of Camera-based Perception in Autonomous Driving Using Adversarial Examples. CoRR (2023)
Ningfei Wang, Yunpeng Luo, Takami Sato, Kaidi Xu, Qi Alfred Chen
Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack. CoRR (2023)
Takami Sato, Justin Yue, Nanze Chen, Ningfei Wang, Qi Alfred Chen
Intriguing Properties of Diffusion Models: A Large-Scale Dataset for Evaluating Natural Attack Capability in Text-to-Image Generative Models. CoRR (2023)
Ningfei Wang, Yunpeng Luo, Takami Sato, Kaidi Xu, Qi Alfred Chen
Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack. ICCV (2023)
Ningfei Wang, Yunpeng Luo, Takami Sato, Kaidi Xu, Qi Alfred Chen
Poster: On the System-Level Effectiveness of Physical Object-Hiding Adversarial Attack in Autonomous Driving. CCS (2022)
Junjie Shen, Ningfei Wang, Ziwen Wan, Yunpeng Luo, Takami Sato, Zhisheng Hu, Xinyang Zhang, Shengjian Guo, Zhenyu Zhong, Kang Li, Ziming Zhao, Chunming Qiao, Qi Alfred Chen
SoK: On the Semantic AI Security in Autonomous Driving. CoRR (2022)
Yulong Cao, Ningfei Wang, Chaowei Xiao, Dawei Yang, Jin Fang, Ruigang Yang, Qi Alfred Chen, Mingyan Liu, Bo Li
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks. CoRR (2021)
Christopher DiPalma, Ningfei Wang, Takami Sato, Qi Alfred Chen
Demo: Security of Camera-based Perception for Autonomous Driving under Adversarial Attack. SP Workshops (2021)
Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jia, Xue Lin, Qi Alfred Chen
Dirty Road Can Attack: Security of Deep Learning based Automated Lane Centering under Physical-World Attack. USENIX Security Symposium (2021)
Yulong Cao, Ningfei Wang, Chaowei Xiao, Dawei Yang, Jin Fang, Ruigang Yang, Qi Alfred Chen, Mingyan Liu, Bo Li
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks. IEEE Symposium on Security and Privacy (2021)
Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jack Jia, Xue Lin, Qi Alfred Chen
Demo: Security of Deep Learning based Automated Lane Centering under Physical-World Attack. SP Workshops (2021)
Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jack Jia, Xue Lin, Qi Alfred Chen
Hold Tight and Never Let Go: Security of Deep Learning based Automated Lane Centering under Physical-World Attack. CoRR (2020)
Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jack Jia, Xue Lin, Qi Alfred Chen
Security of Deep Learning based Lane Keeping System under Physical-World Adversarial Attack. CoRR (2020)
Xinyang Zhang, Ningfei Wang, Hua Shen, Shouling Ji, Xiapu Luo, Ting Wang
Interpretable Deep Learning under Fire. USENIX Security Symposium (2020)
Shujiang Wu, Song Li, Yinzhi Cao, Ningfei Wang
Rendered Private: Making GLSL Execution Uniform to Prevent WebGL-based Browser Fingerprinting. USENIX Security Symposium (2019)
Xinyang Zhang, Ningfei Wang, Shouling Ji, Hua Shen, Ting Wang
Interpretable Deep Learning under Fire. CoRR (2018)
Ningfei Wang, Shouling Ji, Ting Wang
Integration of Static and Dynamic Code Stylometry Analysis for Programmer De-anonymization. AISec@CCS (2018)