2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.AI2025★ 2 cited
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.CR2023★ 1 cited
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…