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.SI2025
ALETHEIA: Combating Social Media Influence Campaigns with Graph Neural Networks
Mohammad Hammas Saeed, Isaiah J. King, Howie Huang
Influence campaigns are a growing concern in the online spaces. Policymakers, moderators and researchers have taken various routes to fight these campaigns and make online systems…
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…