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人工智慧與網路技術實驗室

Artificial Intelligence and Networking Technology Lab

College buildingCollege of AI signTop 2% Scientists 2026AINT Lab entrance

Latest News

2026/10/7 — Prof. Ren-Hung Hwang has been named among the Stanford/Elsevier World’s Top 2% Scientists 2026, on both the career-long and single-year lists.

Welcome to the Artificial Intelligence and Networking Technology Laboratory (AINT Lab). Our research brings together artificial intelligence and networking technologies to build secure, intelligent, and resilient network systems. We combine expertise in network architecture, data analytics, machine learning, and deep learning to address real-world challenges in cybersecurity and next-generation communications. Through close collaboration among faculty, students, and industry partners, our members work together to advance the future of intelligent networks and trustworthy AI.

Welcome to the laboratory’s website!

Founded in 2022 and led by Professor Ren-Hung Hwang, the Artificial Intelligence and Networking Technology (AINT) Laboratory conducts research at the intersection of artificial intelligence, cybersecurity, and next-generation networks.

Our current research spans five areas: LLM-based cybersecurity, including LLM-driven active deception, LLM/AI agents for security operations, and the security of LLM-based systems; AI-enabled cyber defense, including multi-source and social-aware intrusion detection, cyber threat intelligence, and active defense based on MITRE Engage; trustworthy AI, covering adversarial and backdoor attacks on AI models; IoT and critical infrastructure security, including smart grids; and next-generation networks, including 6G (RIS, NTN, and O-RAN), mobile edge computing, and the AI of Things.

Visit the Research page and Projects page to learn more information!

If you want to contact teachers or lab members, please visit the Professor page and Students page.

Do you want to know about the benefits of our lab? You can browse the Resource page and Activities page.

Links for current/future students

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