I am a Ph.D. student in the School of Cyberspace Science and Technology at Beijing Jiaotong University, advised by Prof. Zhen Han, Prof. Wenjia Niu and Dr. Endong Tong. Additionally, I am a joint Ph.D. student (funded by China Scholarship Council) at the TULIP Laboratory, Deakin University, where I am fortunate to work with Prof. Gang Li. My research focuses on the security of safety-critical Cyber-Physical Systems (CPS), including the security of Autonomous Driving (AD) and robotic systems. My goal is to reveal the vulnerabilities of these systems, raise awareness, and thereby advocate for increased research dedicated to AI security. I’m open to any kind of collaboration. If you are interested to chat with me, please feel free to contact me through email.
wuyalun1 [at] bjtu.edu.cn Google Scholar Github
RetroreflectionBA: Leveraging Retroreflection as a Backdoor Attack Trigger for Fooling Pedestrian Detection Models.
Qiong Li, Yalun Wu, Qihuan Li, Xiaoshu Cui, Xiaolin Chang, Peng Sun, Jiqiang Liu, Wenjia Niu.
China Computer Federation Intelligent Vehicles Symposium (CCF CIVS 2024)
Best Student Paper Award
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Collaborative Attack Sequence Generation Model Based on Multi-Agent Reinforcement Learning for Intelligent Traffic Signal System.
Yalun Wu*, Yingxiao Xiang*, Thar Baker, Endong Tong, Ye Zhu, Xiaoshu Cui, Zhenguo Zhang, Zhen Han, Jiqiang Liu, Wenjia Niu.
International Journal of Intelligent Systems (IJIS 2024)
(*Equal Contribution)
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Nightfall Deception: A Novel Backdoor Attack on Traffic Sign Recognition Models via Low-Light Data Manipulation.
Yalun Wu, Qiong Li, YingXiao Xiang, Jinkai Zheng, Xingyu Wu, Zhen Han, Jiqiang Liu, Wenjia Niu.
International Conference on Advanced Data Mining and Applications (ADMA 2024)
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Blockchain-based decentralized federated learning: A secure and privacy-preserving system.
Shuang Zhao, Yalun Wu, Rui Sun, Xiaoai Qian, Dong Zi, Zhiqiang Xie, Endong Tong, Wenjia Niu, Jiqiang Liu, Zhen Han.
IEEE International Conference on High Performance Computing and Communications (HPCC 2021)
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Improving Convolutional Neural Network-Based Webshell Detection Through Reinforcement Learning.
Yalun Wu, Minglu Song, Yike Li, Yunzhe Tian, Endong Tong, Wenjia Niu, Bowei Jia, Haixiang Huang, Qiong Li, Jiqiang Liu.
International Conference on Information and Communications Security (ICICS 2021)
Acceptance Rate: 49/202≈24.25%
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