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Ningfei Wang
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2020 – today
- 2024
- [c13]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: 4062-4070 - [c12]Takami Sato, Justin Yue, Nanze Chen, Ningfei Wang, Qi Alfred Chen:
Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models. CVPR 2024: 24635-24644 - [c11]Ningfei Wang
, Yupin Huang
Towards Robustness Analysis of E-Commerce Ranking System. WWW (Companion Volume) 2024: 364-373 - [i11]Ningfei Wang, Yupin Huang, Han Cheng, Jiri Gesi, Xiaojie Wang, Vivek Mittal:
Towards Robustness Analysis of E-Commerce Ranking System. CoRR abs/2403.04257 (2024) - [i10]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 abs/2406.05810 (2024) - [i9]Ningfei Wang, Shaoyuan Xie, Takami Sato, Yunpeng Luo, Kaidi Xu, Qi Alfred Chen:
Revisiting Physical-World Adversarial Attack on Traffic Sign Recognition: A Commercial Systems Perspective. CoRR abs/2409.09860 (2024) - 2023
- [c10]Xiangguo Liu, Yunpeng Luo, Anthony Goeckner
Invited: Waving the Double-Edged Sword: Building Resilient CAVs with Edge and Cloud Computing. DAC 2023: 1-4 - [c9]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: 4389-4400 - [i8]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 abs/2308.11894 (2023) - [i7]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 abs/2308.15692 (2023) - [i6]Chen Ma, Ningfei Wang, Qi Alfred Chen, Chao Shen:
SlowTrack: Increasing the Latency of Camera-based Perception in Autonomous Driving Using Adversarial Examples. CoRR abs/2312.09520 (2023) - 2022
- [c8]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: 3479-3481 - [i5]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 abs/2203.05314 (2022) - 2021
- [c7]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. SP 2021: 176-194 - [c6]Christopher DiPalma, Ningfei Wang, Takami Sato, Qi Alfred Chen:
Demo: Security of Camera-based Perception for Autonomous Driving under Adversarial Attack. SP (Workshops) 2021: 243 - [c5]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: 244 - [c4]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: 3309-3326 - [i4]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 abs/2106.09249 (2021) - 2020
- [c3]Xinyang Zhang, Ningfei Wang, Hua Shen, Shouling Ji, Xiapu Luo, Ting Wang:
Interpretable Deep Learning under Fire. USENIX Security Symposium 2020: 1659-1676 - [i3]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 abs/2003.01782 (2020) - [i2]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 abs/2009.06701 (2020)
2010 – 2019
- 2019
- [c2]Shujiang Wu, Song Li, Yinzhi Cao, Ningfei Wang:
Rendered Private: Making GLSL Execution Uniform to Prevent WebGL-based Browser Fingerprinting. USENIX Security Symposium 2019: 1645-1660 - 2018
- [c1]Ningfei Wang, Shouling Ji, Ting Wang:
Integration of Static and Dynamic Code Stylometry Analysis for Programmer De-anonymization. AISec@CCS 2018: 74-84 - [i1]Xinyang Zhang, Ningfei Wang, Shouling Ji, Hua Shen, Ting Wang:
Interpretable Deep Learning under Fire. CoRR abs/1812.00891 (2018)
Coauthor Index
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last updated on 2024-10-14 23:28 CEST by the dblp team
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