This research presents an improved method to detect text generated by large language models, addressing critical security concerns in the AI era.

Key Findings:

• Leverages GLTR (Giant Language Model Test Room) techniques to distinguish between human and AI-written content
• Focuses on identifying malicious uses of LLMs including fake news, impersonation, and academic plagiarism
• Provides a practical solution to a growing security challenge as AI text generation becomes increasingly sophisticated

This work matters for security professionals who need reliable tools to detect potentially harmful AI-generated content that could spread misinformation or facilitate fraud in digital environments.

AI-generated Text Detection with a GLTR-based Approach