Les Dissonances: Cross-Tool Harvesting and Polluting in Multi-Tool Empowered LLM Agents
★ 2nd place in the Berkeley RDI LLM Agents MOOC Hackathon (Safety Track)
Hello, I'm Jian Cui, sharing the exact same name as the legendary Chinese rock star.
I'm currently in my third year of pursuing a Ph.D. at University of Illinois Urbana-Champaign, under the guidance of Professor Xiaojing Liao. Prior to that, I earned both my bachelor's and master's degrees in EE from KAIST, advised by Professor Seungwon Shin.
My research focuses on addressing security and privacy threats in agentic AI systems and on applying AI to cyber threat intelligence, including security event detection, dark web analysis, and phishing detection.

Excited to join Microsoft Research as a research intern this summer! See you at Seattle!
Received a $1,337 bug bounty from Google’s Vulnerability Reward Program for discovering a OAuth vulnerability in Gemini CLI!
Our paper, “Les Dissonances: Cross-Tool Harvesting and Polluting in Multi-Tool Empowered LLM Agents,” has been accepted at NDSS 2026!
Our paper, “The Odyssey of robots.txt Governance: Measuring Convention Implications of Web Bots in Large Language Model Services,” was honored with the Distinguished Paper Award at CCS 2025! 🌟
Team Hoosiers AGAIN took home the FIRST Prize (yes, the even-numbered one) in the Safety Track at the AgentX Competition, hosted by Berkeley RDI!
★ 2nd place in the Berkeley RDI LLM Agents MOOC Hackathon (Safety Track)
★ Distinguished Paper Award
★ Top15 finalist in the CSAW Best Applied Research Paper Competition, 2024
MediaLe Monde, The Wall Street Journal, Tech Policy Press, Fast Company