ChatGPT, is this real? The influence of generative AI on writing style in top-tier cybersecurity papers

This project is a domain-specific application of existing AI detection methodologies (marker word analysis). With 0 stars and 1 fork at 7 days old, it currently lacks community traction and serves primarily as a research artifact for a paper. The defensibility is low because the methodology—identifying statistical discontinuities in vocabulary (e.g., the sudden rise of 'delve' or 'comprehensive')—is a known technique already widely discussed in the AI safety community. Frontier labs and major academic publishers (Elsevier, IEEE) are better positioned to implement these checks at the platform level. Companies like Turnitin or GPTZero already offer more robust, cross-domain versions of this capability. The project's value lies in its specific findings for the cybersecurity community, but as a technical asset, it is easily replicated and likely to be superseded by more sophisticated model-based detection or native watermarking from frontier labs.