Refined Detection for Gumbel Watermarking
arXiv stat.ML / 4/1/2026
💬 OpinionIdeas & Deep AnalysisModels & Research
Key Points
- The paper introduces a refined, model-agnostic detection mechanism for the Gumbel watermarking scheme originally proposed by Aaronson (2022).
- It provides a theoretical result showing the proposed detector is near-optimal in a problem-dependent sense among model-agnostic watermarking methods.
- The near-optimality guarantee is established under the assumption that the next-token distribution is sampled i.i.d.
- The work focuses specifically on improving detection effectiveness for watermark presence rather than changing the underlying watermark generation method.
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