Graggle: A Graph-based Approach to Document Clustering. - Isaiah J. King; H. Howie Huang (IEEE Big Data, 2022)

Euler: Detecting Network Lateral Movement via Scalable Temporal Graph Link Prediction. - Isaiah J. King; H. Howie Huang (NDSS, 2022)

EdgeTorrent: Real-time Temporal Graph Representations for Intrusion Detection. - Isaiah J. King; Xiaokui Shu; Jiyong Jang; Kevin Eykholt; Taesung Lee; H. Howie Huang (RAID, 2023)

Euler: Detecting Network Lateral Movement via Scalable Temporal Link Prediction. - Isaiah J. King; H. Howie Huang (ACM Trans. Priv. Secur., 2023)

Fine-grained Graph-based Anomaly Detection on Vehicle Controller Area Networks. - Isaiah J. King; Benjamin Bowman; H. Howie Huang (IEEE Big Data, 2024)

Maui: Black-Box Edge Privacy Attack on Graph Neural Networks. - Haoyu He; Isaiah J. King; H. Howie Huang (Proc. Priv. Enhancing Technol., 2024)

Exploring the Efficacy of Multi-Agent Reinforcement Learning for Autonomous Cyber Defence: A CAGE Challenge 4 Perspective. - Mitchell Kiely; Metin Ahiskali; Etienne Borde; Benjamin Bowman; David Bowman; Dirk Van Bruggen; KC Cowan; Prithviraj Dasgupta; Erich Devendorf; Ben Edwards; Alex Fitts; Sunny Fugate; et al. (AAAI, 2025)

Revelio: Revealing Important Message Flows in Graph Neural Networks. - Haoyu He; Isaiah J. King; H. Howie Huang (ICDE, 2025)

Trail: A Knowledge Graph-Based Approach for Attributing Advanced Persistent Threats. - Isaiah J. King; Ramiro Ramirez; Benjamin Bowman; H. Howie Huang (ICDE, 2025)

Automated Cyber Defense with Generalizable Graph-based Reinforcement Learning Agents. - Isaiah J. King; Benjamin Bowman; H. Howie Huang (CoRR, 2025)