3 papers
cs.CR2026
CyberGFM: Graph Foundation Models for Lateral Movement Detection in Enterprise Networks
Isaiah J. King, Bernardo Trindade, Benjamin Bowman +1
Representing networks as a graph and training a link prediction model using benign connections is an effective method of anomaly-based intrusion detection. Existing works using thi…
cs.IR2025
Temporal Graph Theoretic Analysis of Geopolitical Dynamics in the U.S. Entity List
Yunsen Lei, Kexin Bai, Quan Li +1
Export controls have become one of America's most prominent tools of economic statecraft. They aim to block rival countries' access to sensitive technologies, safeguard U.S. supply…
cs.LG2025
Automated Cyber Defense with Generalizable Graph-based Reinforcement Learning Agents
Isaiah J. King, Benjamin Bowman, H. Howie Huang
Deep reinforcement learning (RL) is emerging as a viable strategy for automated cyber defense (ACD). The traditional RL approach represents networks as a list of computers in vario…