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arXiv Computation and Language By Ahmed Sohair Khan, Estrid He, Monica Wachowicz, Elham Naghizade

I Am No One: Style-Aware Paraphrasing for Text Anonymization

Read the original on arXiv Computation and Language →

The paper introduces a style-aware paraphrasing method for text anonymization that leverages pretrained large language models to build compact stylistic profiles from minimal samples and rewrite text to suppress identifiable style markers while preserving meaning. It demonstrates that this approach reduces authorship attribution F1 scores by 60‑70% on blog and review datasets, outperforming both differential privacy‑based and non‑DP baselines, and maintains content quality and readability.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computation and Language.

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