- USENIX Security’24: Malla: Demystifying Real-world Large Language Model Integrated Malicious Services
- arXiv preprint arXiv:2508.12622: Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes
- IEEE S&P’24: MAWSEO: Adversarial Wiki Search Poisoning for Illicit Online Promotion
- ACM CCS’24: Understanding Cross-Platform Referral Traffic for Illicit Drug Promotion
- NDSS’22: Demystifying local business search poisoning for illicit drug promotion
- PAKDD’22: IDSGAN: Generative adversarial networks for attack generation against intrusion detection
- Awards:
- Top-15 finalist in 2024 CSAW Best Applied Research Competition
- Top-10 finalist in 2022 CSAW Best Applied Research Competition
Research Experience
- Assistant Professor of Computer Science at the University of Missouri-Kansas City (starting Fall 2025)
- Research on cyber threat intelligence
- Research on secure machine learning systems
Education
- Ph.D. in Computer Science from Indiana University Bloomington, co-advised by Prof. Xiaojing Liao and Prof. XiaoFeng Wang
Background
- Research Interests: Data-driven security, especially cyber threat intelligence and secure machine learning systems
- Current Focus: Security around Large Language Models
- Position: Assistant Professor of Computer Science at the University of Missouri-Kansas City (starting Fall 2025)
- Background: Besides academic research, also interested in violin and swimming. Studied violin performance at the Jacobs School of Music, Indiana University Bloomington.