AI RESEARCH
When Personalization Tricks Detectors: The Feature-Inversion Trap in Machine-Generated Text Detection
arXiv CS.CL
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ArXi:2510.12476v2 Announce Type: replace Large language models (LLMs) have grown powerful in language generation, producing fluent text and even imitating personal style. Yet, this ability also heightens the risk of identity impersonation. To the best of our knowledge, no prior work has examined personalized machine-generated text (MGT) detection. In this paper, we