Guanyu Hou

Trustworthy AI · AI Safety & Security

Hello, I’m Guanyu Hou. I am an MSc in Artificial Intelligence student at The University of Manchester. My research focuses on AI safety and security, with an emphasis on trustworthy large language models and multimodal systems.

I study the robustness of audio language models, safety evaluation of text-to-video models, backdoor vulnerabilities, and privacy in retrieval-augmented generation. My work has appeared at venues including CVPR, EMNLP, AAAI, ACM Multimedia Asia, ICASSP, and ICME.

I am interested in PhD opportunities in AI safety and security.

Publications · CV · Google Scholar · Email

Internship Experience

  • Shanghai Artificial Intelligence Laboratory (PJLab) — Research Intern, Sep 2026–Present. Working with Dr. Lijun Li on AI4Science safety.
  • ByteDance — Algorithm Intern (Intelligent Security), Jul–Sep 2026. Worked on multilingual safety classifiers, long-reasoning optimization, and jailbreak defense.

See my CV for details.

Academic Service

  • AAAI 2027 — Program Committee Member
  • NeurIPS 2026 — Reviewer
  • AAAI 2026 — Reviewer

selected publications

  1. arXiv
    ChronoLock: Protecting Videos from Unauthorized Text-to-Video Personalization
    ChronoLock: Protecting Videos from Unauthorized Text-to-Video Personalization
    Jiaming He, Jiashu Zhang, Guanyu Hou, Shuhan Ye, Hanwei Zhu, Yi Yu, and Xudong Jiang
    arXiv preprint arXiv:2606.21146, Jun 2026
  2. CVPR
    TEAR: Temporal-aware Automated Red-teaming for Text-to-Video Models
    Oral TEAR: Temporal-aware Automated Red-teaming for Text-to-Video Models
    Jiaming He, Guanyu Hou, Hongwei Li, Zhicong Huang, Kangjie Chen, Yi Yu, Wenbo Jiang, Guowen Xu, and Tianwei Zhang
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2026
  3. MMAsia
    When Hallucinated Concepts Cross Modals: Unveiling Backdoor Vulnerability in Multi-modal In-context Learning
    When Hallucinated Concepts Cross Modals: Unveiling Backdoor Vulnerability in Multi-modal In-context Learning
    Guanyu Hou, Jiaming He, Yitong Qiao, Jiachen Li, Qiyang Song, Ji Guo, Zihan Wang, and Wenbo Jiang
    ACM International Conference on Multimedia in Asia (MMAsia), Dec 2025
  4. EMNLP
    Evaluating Robustness of Large Audio Language Models to Audio Injection: An Empirical Study
    Evaluating Robustness of Large Audio Language Models to Audio Injection: An Empirical Study
    Guanyu Hou*, Jiaming He*, Yinhang Zhou, Ji Guo, Yitong Qiao, Rui Zhang, and Wenbo Jiang
    * Equal contribution.
    Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov 2025