实验显示，如果用户拿带水印的模型去做 LoRA（Low-Rank Adaptation）微调，随着微调步数增加，水印的检测准确率会逐渐下降。这说明，虽然水印被“焊”进了权重，但如果有人刻意用大量新数据去“磨”，还是有被磨掉的风险。

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