1 citations · 1 across the 4 of their papers we have counts for
5 papers
Automated Software Vulnerability Static Code Analysis Using Generative Pre-Trained Transformer Models
Elijah Pelofske, Vincent Urias, Lorie M. Liebrock
Generative Pre-Trained Transformer models have been shown to be surprisingly effective at a variety of natural language processing tasks -- including generating computer code. We e…
Automated Multi-Language to English Machine Translation Using Generative Pre-Trained Transformers
Elijah Pelofske, Vincent Urias, Lorie M. Liebrock
The task of accurate and efficient language translation is an extremely important information processing task. Machine learning enabled and automated translation that is accurate a…
Automated Creation of Source Code Variants of a Cryptographic Hash Function Implementation Using Generative Pre-Trained Transformer Models
Elijah Pelofske, Vincent Urias, Lorie M. Liebrock
Generative pre-trained transformers (GPT's) are a type of large language machine learning model that are unusually adept at producing novel, and coherent, natural language. In this…
Cybersecurity Threat Hunting and Vulnerability Analysis Using a Neo4j Graph Database of Open Source Intelligence
Elijah Pelofske, Lorie M. Liebrock, Vincent Urias
Open source intelligence is a powerful tool for cybersecurity analysts to gather information both for analysis of discovered vulnerabilities and for detecting novel cybersecurity t…
A Robust Cybersecurity Topic Classification Tool
Elijah Pelofske, Lorie M. Liebrock, Vincent Urias
In this research, we use user defined labels from three internet text sources (Reddit, Stackexchange, Arxiv) to train 21 different machine learning models for the topic classificat…