Short bio: I am an assistant professor and Zhu Chair at UCSB CS.
I completed my Postdoc at UC Berkeley as part of the RDI center and BAIR Lab, under the mentorship of Prof.
Dawn Song.
I received my Ph.D. from Penn State with Prof. Xinyu Xing and my master's
degree from Shanghai Jiao Tong University.
Outside of research, I am the Head of Agent Security at Virtue AI, a
startup focusing on frontier AI security.
My current research center around:
- LLM agents and agentic RLs for software engineering and security
- LLM reasoning and post-training for coding
- AI agents security and safety
My previous works studied the trustworthiness of DRL and DNN via statistical modeling (e.g., Deep GP, Gaussian process
models) and learning (e.g., variational inference, MCMC, empirical bayes),
and designing DNNs for security applications with a focus on noisy learning and OOD.
- Academic Senate Faculty Research Award, UCSB, 2025
- Google
ML and Systems Junior Faculty Award, Google, 2025
- Berkeley RDI AI & Decentralization Innovation Award, UC Berkeley, 2025
- Amazon Research Award (with Christopher Kruegel), Amazon, 2024
- FAR AI Research Award, FAR AI, 2024
- IBM
Fellowship Award, IBM, 2020
- Facebook
Fellowship Finalist, Facebook, 2020
- Baidu AI Fellowship Finalist, Baidu, 2020
-
CCS Outstanding Paper Award, ACM, 2018
- Black Hat Student Scholarship, Black Hat, 2018-2020
- Multiple Conference Travel Grants (e.g., USENIX Security, CCS, NeurIPS, ICML), 2018-2021
-
DARPA AIxCC
Top 7, August, 2025 (
Press release: Washington post
)
-
SWE-bench-Verfied: PatchPilot ranked in the top five open source
tools; PatchPilot+co-PatcheR ranked second in the open weighted model
-
Google SBFT Fuzzing Tool Competition
Top 1, April, 2024
-
Geekpwn Competition on Data Tracing CTF
Top 10, August, 2018
-
Geekpwn Competition on Advesarial Attacks and Defenses CTF
Finalist (Top 6 worldwide), August, 2018 (
Press release: CCTV, CSDN, TOM
)
-
Kanxue AI CTF
Competition Question Maker, June, 2018 (
Press release: China Daily, kknews
)
I am actively recruiting Ph.D. students. If you have a solid background in LLMs, DRL, or software security skills
(static analysis, fuzzing, symbolic execution) and are interested in working with me, please do not hesitate
to contact me through email.
Copyright © Wenbo Guo