从Claude隐形水印回望GenAI时代信息隐藏：嵌入水印如何保证无损？

TL;DR - Anthropic is reportedly embedding invisible, machine-readable watermarks across Claude-generated text, while the article surveys research on provably lossless watermarking. Distribution-preserving techniques matter because they can support content provenance without degrading generation quality.

• Claude’s watermark reportedly spans its web app, API, and Claude Code; generated files also receive C2PA provenance metadata.
• Provably secure steganography seeks mathematical indistinguishability between marked and ordinary outputs, rather than relying only on empirical detection.
• Recent methods extend to public-key, no-box, and resource-asymmetric extraction while addressing tokenization ambiguity.
• Related text, image, and model-watermarking systems trade embedding capacity for robustness against editing, removal, and forgery.