Fengqing Jiang
Logo University of Washington

I am currently a third-year Ph.D. student at University of Washington under supervising of . Prof. Radha Poovendran. I am fortunate to work with Prof. Luyao Niu, and Prof. Bill Yuchen Lin at UW. I also closely work with Prof. Bo Li at UIUC and Prof. Zhen Xiang at University of Georgia.

My research interests is about building responsible and trustworthy AGI system. My works recently concentrates on Large Language Model Alignment, Safety and Security, including Jailbreak attack & defense, LLM application and agent security, LLM reasoning, and data synthesis. I am also working on Machine Learning Security and Federated Learning.


Education
  • University of Washington
    University of Washington
    2022 - present
    Department of Electrical and Computer Engineering
    Ph.D. Student
  • University of Illinois Urbana-Champaign
    University of Illinois Urbana-Champaign
    2018 - 2022
    B.S. in Electrical Engineering with highest honor
    Minor in Computer Science
  • Zhejiang University
    Zhejiang University
    2018 - 2022
    B.Eng. in Electrical Engineering
Experience
  • Amazon
    Amazon
    Applied Scientist Intern
    June 2024 - Sep. 2024
  • Intel AI
    Intel AI
    Machine Learning Engineer Intern
    Mar. 2022 - June 2022
Service
Student Advisory Board Member of ACTION NSF AI Institute
2023 - Current
Organizer of NeurIPS 2024 Competition, CLAS: The Competition for LLM and Agent Safety
Organizer of NeurIPS 2023 Competition, Trojan Detection Challenge 2023 (LLM Edition)
Reviewer: ICML 2024/2025, NeurIPS 2024, ICLR 2025, AAAI 2025, AISTATS 2025, ACL 2025 SRW
News
2025
I gave a research talk at Prof. Varun Chandrasekaran group at UIUC.
Feb 20
Our new work, SafeChain, is released. This project focuses on the safety of Large Reasoning Model.
Feb 18