A training-free audio watermarking method that reduces vocabulary via community detection to boost detection robustness by orders of magnitude while resisting audio modifications.
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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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Hidden in Plain Tokens: Simply Robust, Gradient-Free Watermark for Synthetic Audio
A training-free audio watermarking method that reduces vocabulary via community detection to boost detection robustness by orders of magnitude while resisting audio modifications.