TrustBrew Lab ☕️

We focus on building trustworthy and socially responsible AI systems.

Our research spans robustness, privacy, and interpretability of AI models, with a particular emphasis on the evolving landscape introduced by large foundation models such as LLMs and multi-modal LLMs.

In addition to core technical challenges, we actively explore interdisciplinary applications of trustworthy AI in domains like cybersecurity, education, and healthcare.

People

Principal Investigator

  • Dr. Xi Li, Assistant Professor, CS@UAB
XiLi

PhD Students

Mentored Students

Join Us 🙌

I’m looking for highly motivated PhD students to join my research group starting in Fall 2025 at CS@UAB. Please check the Recruitment page for more details. If you are interested, apply to the CS PhD program and mention my name in your application. Additionally, send your CV and transcript to xili.recruitment@gmail.com with the subject [25Fall PhD Application].

Research Projects

Evolving Safety Landscape of Large Foundation Models

  • Tutorial: Towards Safe Multi-Modal Learning: Unique Challenges and Future Directions – ICCV 2025.
  • Tutorial: Exploitation and Mitigation: Understanding Large-Scale Machine Learning Robustness under Paradigm Shift – SDM 2025.

Robustness of LLMs and Multi-Agent Systems

  • Chain-of-Scrutiny: Detecting Backdoor Attacks for Large Language Models – ACL(findings) 2025.
  • PeerGuard: Defending Multi-Agent Systems Against Backdoor Attacks Through Mutual Reasoning – IEEE IRI 2025.

A PhD Is a Marathon

A PhD is long, challenging, and deeply personal. There’s no single right way to do it, but finding a pace and rhythm that works for you makes all the difference. There’s no formula for success. I just want to share a few thoughts from my own experience.

🌱 You Are More Than Your PhD

🚀 Pace Yourself

😭 When It Feels Hard

🎓 Working With Your Advisor