Wenbo Guo
Assistant Professor
henrygwb@ucsb.edu
1115 Harold Frank Hall
Personal Website
Education
Ph.D. Penn State University
M.S. Shanghai Jiao Tong University
Research Areas
Machine Learning and Data Mining
Security and Cryptography
Bio

Wenbo Guo is an Assistant Professor of the Computer Science Department at UCSB. He received his Ph.D. from Penn State and did his postdoc at UC Berkeley. His research interests are cybersecurity and trustworthy machine learning. He is a recipient of the IBM Ph.D. Fellowship (2020-2022), Facebook/Baidu Ph.D. Fellowship Finalist (2020), and ACM CCS Outstanding Paper Award (2018).

Research

His long-term research goal is to design effective and trustworthy machine-learning solutions for a wide range of security problems. His recent research includes designing foundation models for software and network security problems, building reinforcement learning-driven planning and scheduling systems for security problems, and improving the explainability and robustness of large models and reinforcement learning.