A Trustworthy Watermarking Framework for LLM-Generated Food Safety Content
Large language models are transforming many industries with their text generation abilities. However, their outputs can be easily tampered with, creating serious risks in critical areas such as food safety reporting. To protect the integrity and traceability of AI-generated content, this paper introduces ToSS (Token Oriented Repartitioning and Strategic Selection), a reliable authentication method using adaptive dual watermarking. The key innovation of ToSS is its dual watermark encoding approach that divides vocabulary tokens into black and white sublists, enabling precise bit-level embedding of traceability information. Additionally, an entropy adaptive mechanism dynamically selects tex...
| Authors | Zhongli Fang, Yiran Chen, Lingyun Zhang et al. |
|---|---|
| Primary category | cs.CR |
| Published | 6 September 2026 |
| Last updated at source | 6 September 2026 |
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