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.
2023.09 - 2024.06, Visiting Student, Zhongguancun Laboratory.
2019.09 - 2023.06, B.Sc in Computer Science and Technology, Beihang University.

🎖 Honors and Awards

[2025.11] I received the Most Popular Demo award in ACM MM 2025.
[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 2026] 📪📪 I am co-organizing the The 6th Workshop of Adversarial Machine Learning on Computer Vision: Safety of Vision-Language Agents on CVPR 2026. Please submit your papers and participate the challenge to win prizes!
[2026.04] 🎉🎉 One first-authored paper accepted by MIR 2026.
[2026.01] 🎉🎉 One paper accepted by AAAI 2026.
[2025.11] 🏆🏆 Our paper MetADV is awarded the Most Popular Demo in ACM MM 2025. Congrats!
[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.
[2025.04] 🎉🎉 One paper accepted by IJCNN 2025.
[2025.03] 🎉🎉 One paper accepted by IEEE TIFS 2025.

📝 Publications

Visual Adversarial Attack on Vision-language Models for Autonomous Driving [pdf]

Tianyuan Zhang, Lu Wang, Xinwei Zhang, Yitong Zhang, Boyi Jia, Siyuan Liang, Shengshan Hu, Qiang Fu, Aishan Liu✉︎, Xianglong Liu

Machine Intelligence Research (MIR), 2026.
Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles [pdf]

Jiangfan Liu, Yongkang Guo, Fangzhi Zhong, Tianyuan Zhang, Zonglei Jing, Siyuan Liang, Jiakai Wang, Mingchuan Zhang, Aishan Liu✉︎, Xianglong Liu

AAAI Conference on Artificial Intelligence (AAAI), 2026.
Towards Secure and Robust Vision-Language Models in Autonomous Driving: A Survey for Perception-Oriented and Decision-Oriented Attacks [pdf]

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

Chinese Journal of Electronics (CJE), 2025.
MetAdv: A Unified and Interactive Adversarial Testing Platform for Autonomous Driving [pdf]

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

ACM Multimedia (ACM MM), 2025. Most Popular Demo Award
Manipulating Multimodal Agents via Cross-Modal Prompt Injection [pdf]

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

ACM Multimedia (ACM MM), 2025.
Jailbreak Vision-Language Models via Bi-Modal Adversarial Prompt [pdf]

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

IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2025.
Multimodal Object Detection by Adaptive Channel Enhancement and Attention Fusion [pdf]

Yaqi Mei, Tianyuan Zhang, Huobin Tan✉︎

International Joint Conference on Neural Networks (IJCNN), 2025.
Compromising LLM-Driven Embodied Agents with Contextual Backdoor Attacks [pdf]

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

IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2025.
Bdefects4NN: A Backdoor Defect Database for Controlled Localization Studies in Neural Networks [pdf]

Yisong Xiao, Aishan Liu✉︎, Xinwei Zhang, Tianyuan Zhang, Tianlin Li, Siyuan Liang, Xianglong Liu, Yang Liu, Dacheng Tao

IEEE/ACM International Conference on Software Engineering (ICSE), 2025.
RobustE2E: Exploring the Robustness of End-to-End Autonomous Driving [pdf]

Jiang Wei*, Lu Wang*, Tianyuan Zhang*, Yuwei Chen, Jian Dong✉︎, Wei Bao, Zichao Zhang, Qiang Fu

Electronics, 2024.
LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions [pdf]

Tianyuan Zhang, Lu Wang, Hainan Li, Yisong Xiao, Siyuan Liang, Aishan Liu✉︎, Xianglong Liu, Dacheng Tao

ACM Multimedia (ACM MM), 2024.
Towards Robust Physical-world Backdoor Attacks on Lane Detection [pdf]

Xinwei Zhang, Aishan Liu✉︎, Tianyuan Zhang, Siyuan Liang, Xianglong Liu

ACM Multimedia (ACM MM), 2024.
Attack End-to-End Autonomous Driving through Module-Wise Noise [pdf]

Lu Wang, Tianyuan Zhang, Yikai Han, Muyang Fang, Ting Jin, Jiaqi Kang

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2024.
Enhancing the Transferability of Adversarial Attacks with Stealth Preservation [pdf]

Xinwei Zhang, Tianyuan Zhang, Yitong Zhang, Shuangcheng Liu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2024.
RobustMQ: Benchmarking Robustness of Quantized Models [pdf]

Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, Xianglong Liu

Visual Intelligence (VI), 2023.
Exploring the Physical-world Adversarial Robustness of Vehicle Detection [pdf]

Wei Jiang*, Tianyuan Zhang*, Shuangcheng Liu, Weiyu Ji, Zichao Zhang, Gang Xiao

Electronics, 2023.
Benchmarking the Robustness of Quantized Models [pdf] Yisong Xiao, Tianyuan Zhang, Shunchang Liu, Haotong Qin

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2023.
Benchmarking the Physical-World Adversarial Robustness of Vehicle Detection [pdf]

Tianyuan Zhang, Yisong Xiao, Xiaoya Zhang, Hao Li, Lu Wang

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2023.
Cloud Workload Turning Points Prediction via Cloud Feature-Enhanced Deep Learning [pdf]

Li Ruan, Yu Bai, Shaoning Li, Jiaxun Lv, Tianyuan Zhang, Limin Xiao, Haiguang Fang, Chunhao Wang, Yunzhi Xue

IEEE Transactions on Cloud Computing (IEEE TCC), 2022.