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Ask HN: Does AI watermarking present a new attack vector?

2•nathanfig•1h ago
One thing I have not been able to determine from Claude's documentation on watermarking[0] is what kind of metadata they store in association with a given watermark. Ostensibly they could make the fingerprints as unique as they want, possibly down to the exact time, user and session.

If so, this seems like hidden risk that AI users are probably not considering. Any code you write now carries information that you might not want revealed. If a bad actor gets the keys then they may be able to de-anonymous open source contributors who want to stay hidden. Or perhaps enough fingerprints across a sample could reveal internal organization details a company would rather not disclose.

Someone with more imagination can probably come up with better examples, it just seems like an attack vector that I haven't seen much consideration for.

[0] https://support.claude.com/en/articles/16266773-how-claude-marks-ai-generated-content

Comments

armchairhacker•58m ago
If you really care, a) use an open model or b) obscure your identity to Anthropic.

Otherwise, you're already vulnerable: Anthropic can silently record every change Claude makes to every codebase, maybe they already do.

nathanfig•47m ago
I hope open weights continue to gain traction for this reason too.

But injecting information into outputs is a little different than Claude keeping tabs internally. The point is that we do not know what information is being shipped with the fingerprint itself.

jjgreen•5m ago
Come now, this isn't about attack vectors, it's about you getting caught using LLMs where you shouldn't.

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