Dr. Jun Dai is an Associate Professor in the Department of Computer Science at Worcester Polytechnic Institute (WPI). His research lies at the intersection of artificial intelligence, cybersecurity, and networked and distributed systems, with a particular focus on the security and safety of large language models (LLMs) and autonomous AI agents. His research spans LLM and agent security, model privacy and extraction, retrieval-augmented generation (RAG) security, vulnerability analysis, attack detection, secure coding, and cybersecurity education. Dr. Dai has published in leading security, AI, systems, and data management venues, including NDSS, ICML, ACL, EMNLP, SenSys, SIGMOD, SIGCSE, IEEE TDSC, and IEEE TIFS. His research has been supported primarily by the National Science Foundation (NSF) and other federal agencies. He currently serves as an Associate Editor for IEEE TDSC and as an Artifact Evaluation Co-Chair for ACM CCS 2026.

Dr. Dai is also actively involved in cybersecurity education and workforce development. He serves on the College Board’s Advanced Placement® (AP) Networking Assessment Committee and has contributed to the development of AP Networking Fundamentals and AP Cybersecurity Fundamentals. He has also participated in the ACM CSEC Foundational Content Update effort and leads and contributes to federally funded initiatives that expand hands-on AI and cybersecurity education and workforce training for students, educators, and professionals.

Dr. Dai is always looking for self-motivated students at all levels (undergraduates, master, and PhD). Stipends are competitive if offered paid positions. If you have interests, please email him. Post-doctoral and visiting researchers or students are also welcome.