3 papers
cs.AI2025
From Capabilities to Performance: Evaluating Key Functional Properties of LLM Architectures in Penetration Testing
Lanxiao Huang, Daksh Dave, Tyler Cody +2
Large language models (LLMs) are increasingly used to automate or augment penetration testing, but their effectiveness and reliability across attack phases remain unclear. We prese…
cs.CR2025
Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space
Padmaksha Roy, Tyler Cody, Himanshu Singhal +2
Zero-day anomaly detection is critical in industrial applications where novel, unforeseen threats can compromise system integrity and safety. Traditional detection systems often fa…
cs.AI2025
Exploring Core and Periphery Precepts in Biological and Artificial Intelligence: An Outcome-Based Perspective
Niloofar Shadab, Tyler Cody, Alejandro Salado +3
Engineering methodologies predominantly revolve around established principles of decomposition and recomposition. These principles involve partitioning inputs and outputs at the co…