Fujiao Ji

5th year Ph.D. Candidate in Computer Science
University of Tennessee, Knoxville

I'm a 5th year Ph.D. Candidate in the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville, advised by Dr. Doowon Kim. My research interests lie in adversarial attack and defense methods, particularly concerning websites and large language models.

If you're interested in collaborating on research, please feel free to get in touch!

I am seeking full-time positions, postdoctoral opportunities, and internships in AI and cybersecurity.

Research Interests

Adversarial Attack & Defense
Web Security & Phishing Detection
LLM and Agentic AI Security

Teaching & Services

Graduate Research/Teaching Assistantship
Program Committee of USENIX 2027
Reviewer for Pattern Recognition
Artifact Evaluation Committee of USENIX 2026, IEEE S&P 2026, NDSS 2027

Unofficial Research Assistants

Claude Max & GPT Plus

Fujiao Ji

fji1@utk.edu
GitHub
LinkedIn
Google Scholar
CV

News

July 2026: Excited to join the Program Committee of USENIX Security 2027. Thanks, USENIX!
Jun. 2026: Excited to serve on the Artifact Evaluation Committee of NDSS 2027. Thanks, NDSS!
Excited to serve on the Artifact Evaluation Committee of IEEE S&P 2026. Thanks, S&P!
Passed my proposal defense - I am officially a Ph.D. candidate now! Many thanks to Dr. Kim and my other four committee members.
Nov. 2025: Excited to serve on the Artifact Evaluation Committee of USENIX Security 2026. Thanks, USENIX!
Aug. 2025: Attended USENIX Security 2025. Thanks to Dr. Kim for the support!
Jun. 2025: Attended CVPR 2025. Thanks to Dr. Kim for the support!
Jan. 2025: Paper My first first-author paper, a measurement study of visual similarity-based phishing detection models, is accepted at USENIX Security 2025! Thanks Dr. Kim and USENIX!