3 papers
cs.CR2024
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…
cs.CR2024
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…
cs.CL2024
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…