Tianyuan Zhang

According to our database, Tianyuan Zhang authored at least 22 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Evolving Deception: When Agents Evolve, Deception Wins.

Zonghao Ying, Haowen Dai, Tianyuan Zhang, Yisong Xiao, Quanchen Zou, Aishan Liu, Jian Yang, Yaodong Yang, Xianglong Liu

CoRR, March, 2026

Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles.

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Bench2ADVLM: A Closed-Loop Benchmark for Vision-language Models in Autonomous Driving.

Tianyuan Zhang, Ting Jin, Lu Wang, Jiangfan Liu, Siyuan Liang, Mingchuan Zhang, Aishan Liu, Xianglong Liu

CoRR, August, 2025

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025.

Zonghao Ying, Siyang Wu, Run Hao, Peng Ying, Shixuan Sun, Pengyu Chen, Junze Chen, Hao Du, Kaiwen Shen, Shangkun Wu, Jiwei Wei, Shiyuan He, Yang Yang, Xiaohai Xu, Ke Ma, Qianqian Xu, Qingming Huang, Shi Lin, Xun Wang, Changting Lin, Meng Han, Yilei Jiang, Siqi Lai, Yaozhi Zheng, Yifei Song, Xiangyu Yue, Zonglei Jing, Tianyuan Zhang, Zhilei Zhu, Aishan Liu, Jiakai Wang, Siyuan Liang, Xianglong Kong, Hainan Li, Junjie Mu, Haotong Qin, Yue Yu, Lei Chen, Felix Juefei-Xu, Qing Guo, Xinyun Chen, Yew Soon Ong, Xianglong Liu, Dawn Song, Alan L. Yuille, Philip Torr, Dacheng Tao

CoRR, June, 2025

Black-Box Adversarial Attack on Vision Language Models for Autonomous Driving.

Lu Wang, Tianyuan Zhang, Yang Qu, Siyuan Liang, Yuwei Chen, Aishan Liu, Xianglong Liu, Dacheng Tao

CoRR, January, 2025

Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt.

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

IEEE Trans. Inf. Forensics Secur., 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

IEEE Trans. Inf. Forensics Secur., 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

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

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

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

BDefects4NN: A Backdoor Defect Database for Controlled Localization Studies in Neural Networks.

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

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

2024

Visual Adversarial Attack on Vision-Language Models for Autonomous Driving.

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

CoRR, 2024

Module-wise Adaptive Adversarial Training for End-to-end Autonomous Driving.

Tianyuan Zhang, Lu Wang, Jiaqi Kang, Xinwei Zhang, Siyuan Liang, Yuwei Chen, Aishan Liu, Xianglong Liu

CoRR, 2024

Compromising 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

CoRR, 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

CoRR, 2024

Towards Robust Physical-world Backdoor Attacks on Lane Detection.

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

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

<i>LanEvil</i>: 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

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Enhancing the Transferability of Adversarial Attacks with Stealth Preservation.

Xinwei Zhang, Tianyuan Zhang, Yitong Zhang, Shuangcheng Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

RobustMQ: benchmarking robustness of quantized models.

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

Vis. Intell., 2023

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

IEEE Trans. Cloud Comput., 2023

Exploring the Physical World Adversarial Robustness of Vehicle Detection.

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

CoRR, 2023

Benchmarking the Physical-world Adversarial Robustness of Vehicle Detection.

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

CoRR, 2023

Benchmarking the Robustness of Quantized Models.

Yisong Xiao, Tianyuan Zhang, Shunchang Liu, Haotong Qin

CoRR, 2023