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AI Watermark Evidence Fails Forensic Readiness: An Empirical Evaluation

arXiv cs.CL · 2d ago Cached

This paper empirically evaluates three LLM watermarking methods (KGW, Unigram, SynthID-Text) against forensic admissibility standards, finding that none meet the evidentiary bar required by courts, with near-100% removal of watermarks after meaning-preserving paraphrase and high false-negative rates even before attack.

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