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Team SecLab

Team SecLab

Our team is exploring autonomous red teaming for complex web applications, with a focus on vulnerabilities that emerge across application state, multiple code paths, and iterative interaction. We hope to contribute ideas in state-aware reasoning, repository-level analysis, and runtime feedback-guided validation.

By Ohio State University
2 min read
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Team members

Linxi Jiang - Team leader

PhD student in Computer Science at Ohio State focusing on agent security. Research investigates security risks in agentic systems, particularly indirect prompt injection in realistic environments. Also explores use of LLMs for binary program analysis, including symbol recovery in stripped binaries.

Xinyou Huang - Team leader

PhD student in Computer Science at Ohio State focusing on static and dynamic program analysis for software vulnerability discovery and exploitation, particularly in web applications. Uncovered numerous zero-day vulnerabilities and CVE-assigned issues across real-world systems.

Chuyang Chen

PhD student in Computer Science and Engineering at Ohio State focusing on software security. Research investigates program analysis and formal verification techniques for improving software assurance. Exploring application of formal methods to agent security.

Haotian Luo

PhD student in Computer Science and Engineering at Ohio State focusing on trustworthy LLMs and agentic systems for security-critical applications. Research on improving reliability and security of AI systems in high-stakes settings. Also worked on automated vulnerability discovery and use of LLMs for secure code analysis.

Zhijie Liu

PhD student in Computer Science at Ohio State focusing on program and binary analysis and large language models for code. Research investigates how analysis techniques and LLM-based methods can improve software security. Contributed to AI-powered threat hunting in real-world security systems.

Chao Wang

PhD candidate in Computer Science and Engineering at Ohio State focusing on mobile and web security. Research investigates security of modern application ecosystems, including super apps, mini apps, and JavaScript-based systems. Contributed to applied security through systematic bug hunting and high-level security competitions.

Jintao Huang

PhD student at Ohio State researching machine learning systems and software security. Studies program analysis, LLM post-training, and AI safety. Published at SIGMETRICS, WWW, and EuroS&P. Current work on secure multi-agent collaboration and robust agentic AI systems.

Christopher Begines

Undergraduate student at Ohio State focusing on offensive security and reverse engineering. Research investigates cyber threat intelligence gathering and LLM-based dynamic fuzzing. Gained practical experience through internships with government organizations and contractors.

Faculty advisor

Zhiqiang Lin

Distinguished Professor of Engineering and Director of the Institute for Cybersecurity and Digital Trust at Ohio State. Research focuses on systems and software security, including vulnerability discovery, web and mobile ecosystem security, and AI security for code and agentic systems.

About the Author
Ohio State University

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