Source Identification Is Not Fitness Testing: Measuring the Limits of Synthetic-Data Attribution

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   arXiv · Machine Learning Theory精选

   Source Identification Is Not Fitness Testing: Measuring the Limits of Synthetic-Data Attribution

   该研究测试了合成数据溯源在重复训练中的可靠性与筛选价值。以金融风险文本为素材，原始生成文本的生成器归属准确率达 98.7%，改写后降至 53.1%（释义）和 29.0%（风格改写），生成与人类检测仍接近完美。

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