Tianyuan Zhang

Orcid: 0000-0001-9874-6828

Affiliations:
  • Beihang University, Beijing, China
  • China Eletronics Technology Group Corporation, Beijing, China (former)


According to our database1, Tianyuan Zhang authored at least 17 papers between 2023 and 2025.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Manipulating Multimodal Agents via Cross-Modal Prompt Injection.
CoRR, April, 2025

Black-Box Adversarial Attack on Vision Language Models for Autonomous Driving.
CoRR, January, 2025

Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt.
IEEE Trans. Inf. Forensics Secur., 2025

Compromising LLM Driven Embodied Agents With Contextual Backdoor Attacks.
IEEE Trans. Inf. Forensics Secur., 2025

BDefects4NN: A Backdoor Defect Database for Controlled Localization Studies in Neural Networks.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

2024
Visual Adversarial Attack on Vision-Language Models for Autonomous Driving.
CoRR, 2024

Module-wise Adaptive Adversarial Training for End-to-end Autonomous Driving.
CoRR, 2024

Compromising Embodied Agents with Contextual Backdoor Attacks.
CoRR, 2024

LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions.
CoRR, 2024

Towards Robust Physical-world Backdoor Attacks on Lane Detection.
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.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
RobustMQ: benchmarking robustness of quantized models.
Vis. Intell., 2023

Cloud Workload Turning Points Prediction via Cloud Feature-Enhanced Deep Learning.
IEEE Trans. Cloud Comput., 2023

Exploring the Physical World Adversarial Robustness of Vehicle Detection.
CoRR, 2023

Benchmarking the Physical-world Adversarial Robustness of Vehicle Detection.
CoRR, 2023

Benchmarking the Robustness of Quantized Models.
CoRR, 2023


  Loading...