Keyan Guo

Keyan Guo

I am a PhD candidate in the Department of Computer Science and Engineering at University at Buffalo, supervised by Dr. Hongxin Hu. My background is in AI and cybersecurity, and I am strongly interested in developing AI-driven solutions to address real-world security challenges and enhance AI safety and robustness.

Teaching

I have served as a teaching assistant in the Department of Computer Science and Engineering at the University at Buffalo for courses in AI, machine learning, databases, and computer security (Fall 2020 – Fall 2024), and I contribute to AI security education through guest lectures and tutorials. My teaching was recognized with the CSE Best Graduate Teaching Award (University at Buffalo, 2022). A full record is in my CV.

Teaching Assistant

  • CSE 465/565: Computer Security, Fall 2023, Fall 2024
  • CSE 574: Introduction to Machine Learning, Spring 2024
  • CSE 460/560: Data Models and Query Languages, Fall 2021, Spring 2022, Fall 2022, Spring 2023
  • CSE 368: Introduction to Artificial Intelligence, Fall 2020

Responsibilities included designing and grading projects and labs, developing course materials, and leading instructional components.

Guest Lectures and Tutorials

  • Guest Lecture: AI Security and Adversarial Machine Learning
    CSE 4/565 Computer Security, University at Buffalo, every fall since 2024 (Fall 2024 – Fall 2026)
    Lectures for the combined undergraduate and graduate computer security course, reaching over 300 students in total. The lectures introduce security risks specific to AI systems and cover three topics:
    • AI security: how machine learning systems can be attacked and defended, and why they need their own threat models.
    • LLM safety: how large language models can be manipulated into unsafe behavior, and how such behavior is detected and mitigated.
    • Adversarial machine learning: how crafted inputs mislead models, and how models are made more robust against them.
  • Tutorial: Machine Learning Based Online Abuse Defense — Platform, Research, and Hands-on Labs
    18th International AAAI Conference on Web and Social Media (ICWSM 2024), Buffalo, NY
    Co-presented a tutorial covering research on online abuse defense, our moderation platform, and hands-on AI cybersecurity labs.
  • Lightning Talk: AI Safety Issues and Research Directions
    SEAS Ph.D. Seminar 2023, School of Engineering and Applied Sciences, University at Buffalo
    Introduced current AI safety challenges and research directions to Ph.D. students across the school.