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. In my spare time, I also play CTFs with Shellphish.
My research interests center around the intersection of trustworthy machine learning and ML for computer security. My recent research includes designing generative models and agents for coding capabilities and security, as well as improving the explainability and robustness of code generative models, LLMs, and DRLs.
- Amazon Research Award (with Christopher Kruegel), Amazon, 2024
- FAR AI Research Award, FAR AI, 2024
- DARPA AIxCC Finalist (Top 7), DARPA, 2024
- Google SBFT Fuzzing Tool Competition Award (Top 1), ACM, 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
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DARPA AIxCC
Top 7, August, 2024 (Press release: Washington post)
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I play CTFs with Shellphish
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Geekpwn Competition on Data Tracing CTF
Top 10, August, 2018
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Geekpwn Competition on Advesarial Attacks and Defenses CTF
Finalist (Top 6 worldwide), August, 2018 (Press release: CCTV, CSDN, TOM)
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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 foundation models, 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