most citedDetection of LLM-Paraphrased Code and Identification of the Responsible LLM Using Coding Style Features

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cs.CY2025

TRAPDOC: Deceiving LLM Users by Injecting Imperceptible Phantom Tokens into Documents

Hyundong Jin, Sicheol Sung, Shinwoo Park +2

The reasoning, writing, text-editing, and retrieval capabilities of proprietary large language models (LLMs) have advanced rapidly, providing users with an ever-expanding set of fu…