most citedPromSec: Prompt Optimization for Secure Generation of Functional Source Code with Large Language Models (LLMs)

26 citations · 28 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CR2024★ 2 cited

Demo: SGCode: A Flexible Prompt-Optimizing System for Secure Generation of Code

Khiem Ton, Nhi Nguyen, Mahmoud Nazzal +6

This paper introduces SGCode, a flexible prompt-optimizing system to generate secure code with large language models (LLMs). SGCode integrates recent prompt-optimization approaches…

cs.SE2024★ 26 cited

PromSec: Prompt Optimization for Secure Generation of Functional Source Code with Large Language Models (LLMs)

Mahmoud Nazzal, Issa Khalil, Abdallah Khreishah +1

The capability of generating high-quality source code using large language models (LLMs) reduces software development time and costs. However, they often introduce security vulnera…