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

• [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!
• [2025.03]  🎉🎉 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 Multimedia 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

Electronics 2024

RobustE2E: Exploring the Robustness of End-to-End Autonomous Driving

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

Google Scholar

ACM Multimedia 2024

LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions

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

Website Google Scholar

ACM Multimedia 2024

Towards Robust Physical-world Backdoor Attacks on Lane Detection

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

Google Scholar

IEEE CVPR 2024 Workshops

Attack End-to-End Autonomous Driving through Module-Wise Noise

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

Google Scholar

IEEE CVPR 2024 Workshops

Enhancing the Transferability of Adversarial Attacks with Stealth Preservation

Xinwei Zhang, Tianyuan Zhang, Yitong Zhang, Shuangcheng Liu

Google Scholar

Visual Intelligence 2023

RobustMQ: benchmarking robustness of quantized models

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

Google Scholar

Electronics 2023

Exploring the physical-world adversarial robustness of vehicle detection

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

Google Scholar

IEEE CVPR 2023 Workshops

Benchmarking the robustness of quantized models

Yisong Xiao, Tianyuan Zhang, Shunchang Liu, Haotong Qin

Google Scholar

IEEE CVPR 2023 Workshops

Benchmarking the physical-world adversarial robustness of vehicle detection

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

Google Scholar

IEEE TCC 2022

Cloud workload turning points prediction via cloud feature-enhanced deep learning

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

Google Scholar