Beyond Data Poisoning: Stealthy Adversarial Manipulation of 3D Gaussian Splatting
Yufan Zhang, Zengxiang Lei, Ruoyu Song, Z. Berkay Celik, Satish Ukkusuri
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Yufan(Flynn) Zhang 张宇凡
I am a Ph.D. student at University of Maryland, College Park, advised by Terry Yang. I am interested in useful generative models, physical AI, and trustworthy AI. Previously, I was fortunate to be advised by Berkay Celik, Zhenhui Jessie Li, Satish Ukkusuri, and Xianyuan Zhan.
Updates
📢 Latest News
I officially began my Ph.D. journey at the University of Maryland, College Park.
This summer, I joined AIR for a research internship.
I concluded my one-year Visiting Scholar appointment at Purdue University.
Our engineering design benchmark for LLMs is accepted to NeurIPS 2025.
I successfully completed my studies at the University of Illinois Urbana-Champaign.
Research
🔍 Research
My research focuses on useful generative models, physical AI, and trustworthy AI, with applications in transportation systems, autonomous driving, and robust machine intelligence.
Work
📖 Publications
Controllable Road Marking Generation
Zhiyu Cai, Yufan Zhang, Ruichen Tan, Zengxiang Lei, Satish Ukkusuri
CAMERA3: Camera Motion-aware Robust Adversarial Attacks Against Monocular Depth Estimation
Yufan Zhang, Zengxiang Lei, Ruoyu Song, Z. Berkay Celik, Satish Ukkusuri
Toward Engineering AGI: Benchmarking the Engineering Design Capabilities of LLMs
Xingang Guo†, Yaxin Li†, XiangYi Kong†, Yilan Jiang†, Yufan Zhang†, 40+ authors et al., Bin Hu*
†Core authors, *Corresponding author
A Pre-Trained Trajectory Generative Model on Road Network
Weiji Xie, Yufan Zhang, Rui Zhang, Zhouyue Sun, Tianyu Liu, Guanjie Zheng, Zhenhui Jessie Li, Weinan Zhang
Experience
📍 Experience
Service
🎓 Academic Service
Reviewer
IEEE Transactions on Intelligent Transportation Systems (TITS)
Writing
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