CiCi (Yutong) Cheng

Phd student @Virginia Tech.

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🦄 B.E. at BJTU_SE✨

🦄 Mphil at CUHKsz_CSE✨

🦄 Ph.D at VT_CS✨

I am a PhD student in the Computer Science department at Virginia Tech, fortunate to be advised by Prof. Gao. I am broadly interested in the application of large language models in boosting various cybersecurity tasks, such as cyber threat intelligence anlysis, vulnerability discovery, and adversarial attack and defense. I am also interested in the intersection of machine learning and cybersecurity, particularly in the context of adversarial machine learning and privacy-preserving machine learning. You can find more about my research interests here.

I am currently working on the projects of llm-based adversarial attack agents, and application of LLMs to dig out vulnerabilities in smart contracts. If you are interested, please feel free to reach out to me. 🥰

In addition to my academic pursuits, I also enjoy playing sports and exploring the world. With over a decade of experience in tennis🎾 and badminton🏸, I had the opportunity to lead both teams in my Department during my college years. Outside of courts, I find joy in wind-surfing⛵️, surfing🏄‍♀️, and scuba diving🤿, allowing me to connect with the water🌊 and its wonders. Skiing🎿 is another hobby of mine, and I’ve had the pleasure of skiing in Sapporo, Japan, as well as the stunning peaks of Jungfraujoch, Switzerland. Along my travels, I’ve been fortunate to visit more than 20 countries, immersing myself in diverse cultures and creating cherished memories.

news

Apr 23, 2024 I will be presenting a poster on our lab’s recent progress on appying LLMs to analyze cyber threat intelligence and construct knowledge graphs at the CS Research Showcase. Look forward to seeing you there! 🥰
Mar 12, 2024 I have been selected for the 2024 CCI SWVA Cyber Innovation Scholarship. 🥳
Mar 4, 2024 I presented a poster on “Unleashing Cyber Threat Intelligence via In-context Learning from Large Language Models” at the 2024 DMV Security Workshop. 🥳
Dec 3, 2023 I will be the student organizer for the 2024 DMV Security Workshop. Look forward to seeing you there! 🥰
Nov 1, 2023 Our paper “Hue: A User-Adaptive Parser for Hybrid Logs” Has been accepted for ESEC/FSE 2023 🥳