Tianyuan Zhang is a PhD student at State Key Laboratory of Software Development Environment at the Beihang University(BUAA), supervised by Prof. Xianglong Liu and Prof. Aishan Liu.

My research interest includes autonomous driving safety and adversarial attack.

📖 Educations

2023.09 - present, Ph.D. in Computer Software and Theory, Beihang University.
2019.09 - 2023.06, B.Sc in Computer Science and Technology, Beihang University.

🎖 Honors and Awards

[2023.12] I received the Outstanding Research Project of Shen Yuan Honors College, BUAA.
[2023.06] I was selected as Excellent Graduate of Beijing.

🔥 News

[Special Issue@Pattern Analysis and Applications] 📪📪 I am serving as the Guest Editor for the Special Issue on the Cognitive Robustness of Foundation Models on Pattern Analysis and Applications (SCI JCR Q2). Please submit your papers!
[Workshop@CVPR 2025] 🏆🏆 I am co-organizing the 5th Workshop of Adversarial Machine Learning on Computer Vision: Foundation Models + X on CVPR 2025. Please submit your papers and participate the challenge to win prizes!
[2025.09] 🎉🎉 One first-authored paper accepted by Chinese Journal of Electronics.
[2025.07] 🎉🎉 Two papers accepted by ACM MM 2025 (One regular paper and one demos/videos track paper).
[2025.06] 🎉🎉 One paper accepted by IEEE TIFS 2025.
[2025.03] 🎉🎉 One paper accepted by IEEE TIFS 2025.
[2024.11] 🎉🎉 One paper accepted by ICSE 2025.
[2024.08] 🎉🎉 One fisrt-co-authored paper accepted by Electronics 2024.
[2024.07] 🎉🎉 Two papers (One first-authored) accepted by ACM MM 2024.
[2024.04] 🎉🎉 Two papers accepted by IEEE CVPR 2024 Workshops.
[2023.12] 🎉🎉 One paper accepted by Visual Intelligence 2023.
[2023.09] 🎉🎉 One fisrt-co-authored paper accepted by Electronics 2023.
[2023.04] 🎉🎉 Two papers (One first-authored) accepted by IEEE CVPR 2023 Workshops.
[2022.03] 🎉🎉 One paper accepted by IEEE TCC 2022.

📝 Publications

CJE 2025

Towards Secure and Robust Vision-Language Models in Autonomous Driving: A Survey for Perception-Oriented and Decision-Oriented Attacks

Tianyuan Zhang, Jiangfan Liu, Yongkang Guo, Fangzhi Zhong, Wei Bao, Jian Dong✉️, Aishan Liu, Xianglong Liu

ACM MM 2025 (demo/videos track)

MetAdv: A Unified and Interactive Adversarial Testing Platform for Autonomous Driving

Aishan Liu, Jiakai Wang, Tianyuan Zhang, Hainan Li, Jiangfan Liu, Siyuan Liang, Yilong Ren, Xianglong Liu✉️, Dacheng Tao

Google Scholar

ACM MM 2025

Manipulating Multimodal Agents via Cross-Modal Prompt Injection

Le Wang*, Zonghao Ying*, Tianyuan Zhang, Siyuan Liang, Shengshan Hu, Mingchuan Zhang, Aishan Liu✉️, Xianglong Liu

Google Scholar

IEEE TIFS 2025

Jailbreak vision language models via bi-modal adversarial prompt

Zonghao Ying, Aishan Liu✉️, Tianyuan Zhang, Zhengmin Yu, Siyuan Liang, Xianglong Liu, Dacheng Tao

Google Scholar

IEEE TIFS 2025

Compromising llm driven embodied agents with contextual backdoor attacks

Aishan Liu, Yuguang Zhou, Xianglong Liu✉️, Tianyuan Zhang, Siyuan Liang, Jiakai Wang, Yanjun Pu, Tianlin Li, Junqi Zhang, Wenbo Zhou, Qing Guo, Dacheng Tao

Google Scholar

ICSE 2025