Data Provenance Auditing of Fine-Tuned Large Language Models with a Text-Preserving Technique.
arXiv:2510.09655v3 Announce Type: replace-cross Abstract: We propose a system for marking sensitive or copyrighted texts to detect their use in fine-tuning large language models under black-box access with statistical guarantees. Our method builds digital ``ma
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