Xin Jin

Hi! I’m a PhD candidate from Department of Computer Science and Engineering at The Ohio State University, advised by Prof. Zhiqiang Lin. I’m also a member of OSU SecLab and NSF AI Edge Institute.

My research interests lie at the intersection of computer security and machine learning (especially on large language models). I’m excited about:

• Automated Program Understanding: Understanding program semantics with machine learning and exploring its applications to reverse engineering tasks.
• Mobile/IoT/Edge Security: Securing mobile/IoT/edge systems and applications by program analysis and machine learning.
• Threat Intelligence: Collecting, interpreting, and enriching cybersecurity data to identify and mitigate potential threats and assist decision-making processes.

I was a research intern at Microsoft Research where I applied generative large language models to binary reverse engineering, mentored by Jonathan Larson, Weiwei Yang, and Mike Walker in summer 2023. I also interned at Cisco Research working with Ashish Kundu on building holistic attack graphs in edge computing in summer 2022. Before joining OSU, I obtained my bachelor degree from Northwestern Polytechnical University in 2017 and then spent a gap year at University of Science and Technology of China and Fudan University.