About Me

I am the fourth-year Ph.D. Candidate from School of Information @ University of Michigan-Ann Arbor, supervised by Professor V.G.Vinod Vydiswaran. I also work with Professor Chaowei Xiao on cybersecurity of LLM.

Research

My research interests are Cyber Security (red-teaming, backdoor attack & defense of LLMs), Generative models, Health informatics.

Education

  • Ph.D. in Informatics, University of Michigan , 2020 - 2024 Aug (expected)
  • M.S. in Electrical Computer Engineering, University of Michigan,2017 - 2019
  • B.S. in Electrical Engineering, Nankai University, China,2013 - 2017

Industry Experience

  • 05/2023 - 08/2023 : Research Scientiest Intern @ Yahoo Research
  • 10/2019 - 08/2020 : Research Associate @ Michigan Medicine

Teaching Experience

Graduate Student Instructor:

  • WN 2024: SI 630 Natura Language Processing Algorithms and People.
  • WN 2023: LHS 712 Natural Language Processing for Health.

Public Service

  • Reviewer or PC of conference: ACL ARR, EACL 2023, EMNLP 20’21’22’23
  • Reviewer of Journal: Frontiers in Big Data, section Cybersecurity and Privacy.

Awards

  • Rackham Conference Travel Grant
  • UMSI Conference Travel Grant

Selected Publications

  • [Cyber Security] Mitigating Fine-tuning Jailbreak Attack with Backdoor Enhanced Alignment [Paper]
    Jiongxiao Wang, Jiazhao Li, Yiquan Li, Xiangyu Qi, Muhao Chen, Junjie Hu, Yixuan Li, Bo Li, and Chaowei Xiao
    arXiv preprint arXiv:2402.14968, 2024.

  • [Cyber Security] ChatGPT as an Attack Tool: Stealthy Textual Backdoor Attack via Blackbox Generative Model Trigger. [Paper]
    Jiazhao Li, Yijin Yang, Zhuofeng Wu, V.G. Vinod Vydiswaran, Chaowei Xiao
    NAACL 2024, Spotlight Paper of 4th TrustNLP workshop.

  • [Cyber Security] Defending against Insertion-based Textual Backdoor Attacks via Attribution. [Paper]
    Jiazhao Li, Zhuofeng Wu, Wei Ping, Chaowei Xiao, V.G.Vinod Vydiswaran
    Findings of ACL 2023.

  • [Machine Translation] PharmMT: A Neural Machine Translation Approach to Simplify Prescription Directions. [Paper] [BibTex][Video]
    Jiazhao Li, Corey Lester, Xinyan Zhao, Yuting Ding, Yun Jiang, and V.G.Vinod Vydiswaran.
    Findings of EMNLP 2020.

  • [Information Retrieval] Re-ranking biomedical literature for precision medicine with pre-trained neural models. [Paper] [BibTex]
    Jiazhao Li, Adharsh Murali, Qiaozhu Mei, V.G.Vinod Vydiswaran.
    ICHI 2020.