This research introduces an innovative watermarking technique that embeds undetectable signatures into AI-generated text while preserving natural language quality.

• Creates topic-specific watermarks that adapt to the content's subject matter
• Achieves robust authentication that resists paraphrasing and editing attacks
• Maintains high-quality output without requiring specialized frameworks
• Offers a practical solution to identify AI-generated content at scale

Security Impact: As AI-generated content becomes increasingly indistinguishable from human writing, this watermarking approach provides a critical tool for content authentication, mitigating risks of AI misuse in misinformation campaigns and academic dishonesty.

Topic-Based Watermarks for Large Language Models