DEW is a semantic watermarking method for LLMs that derives a robust signal from dual embeddings via vector-space algebra and pseudo-random projections, remaining detectable after paraphrasing and translation.
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Robust Text Watermarking for Large Language Models via Dual Semantic Embeddings
DEW is a semantic watermarking method for LLMs that derives a robust signal from dual embeddings via vector-space algebra and pseudo-random projections, remaining detectable after paraphrasing and translation.