Wenbo Guo

The bibliographic record under this name appears to mix work from multiple distinct researchers, spanning computer security topics like adversarial machine learning, malware detection, and automated vulnerability reproduction, alongside unrelated materials science, geology, and engineering studies. Based on the security-related entries, this line of work focuses on building automated systems to detect malicious software, reproduce and verify security vulnerabilities (CVEs) using AI agents, and evaluate the robustness and safety of machine learning and AI agent systems. Prospective students interested in this area should verify which specific publications belong to this PI, given the apparent overlap of multiple author identities in the data.

Publication counts have generally increased over the past decade, rising from about 5 per year in 2017-2018 to a peak of 28 in 2025, though the year-to-year counts fluctuate and the record likely blends contributions from multiple same-named authors.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026