
Code Red: Security Risks in LLM-Assisted Programming
Evaluating the potential harm of using off-the-shelf LLMs for coding tasks
This research introduces a comprehensive framework for assessing security risks when using Large Language Models for software development.
- Develops a taxonomy of harmful scenarios in software engineering contexts
- Creates a specialized dataset of prompts to test model vulnerabilities
- Evaluates how effectively various LLMs are aligned for harmlessness
- Provides guidance for safer implementation of AI coding assistants
As developers increasingly rely on LLM-powered solutions, understanding these security implications is critical for preventing malicious code generation and protecting systems against AI-enabled threats.
Code Red! On the Harmfulness of Applying Off-the-shelf Large Language Models to Programming Tasks