4 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.SE2024★ 2 cited
Prompting Techniques for Secure Code Generation: A Systematic Investigation
Catherine Tony, Nicolás E. Díaz Ferreyra, Markus Mutas +2
Large Language Models (LLMs) are gaining momentum in software development with prompt-driven programming enabling developers to create code from natural language (NL) instructions.…
cs.SE2023★ 4 cited
LLMSecEval: A Dataset of Natural Language Prompts for Security Evaluations
Catherine Tony, Markus Mutas, Nicolás E. Díaz Ferreyra +1
Large Language Models (LLMs) like Codex are powerful tools for performing code completion and code generation tasks as they are trained on billions of lines of code from publicly a…