Watermarking and Attribution for LLM Content

Research on embedding identifiable markers in LLM outputs for content attribution, detection of AI-generated content, and resistance to watermarking attacks

This presentation covers 43 research papers on large language models applied to Watermarking and Attribution for LLM Content.

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