activity
20232025
most citedFrom Capabilities to Performance: Evaluating Key Functional Properties of LLM Architectures in Penetration Testing

2 citations · 4 across the 7 of their papers we have counts for

collaborators
Showing cs.SEShow all

1 paper · 1 filter

cs.SE2024

On Extending the Automatic Test Markup Language (ATML) for Machine Learning

Tyler Cody, Bingtong Li, Peter A. Beling

This paper addresses the urgent need for messaging standards in the operational test and evaluation (T&E) of machine learning (ML) applications, particularly in edge ML application…