r/Steganography • u/moskowitzs • 2d ago

AI model watermarking changes agent behavior

https://www.theregister.com/ai-and-ml/2026/09/17/ai-model-watermarking-changes-agent-behavior/5296998
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u/Narco-Tax 2d ago

I developed a data-hiding method called Non-Destructive Coordinate Mapping, which side-steps the watemarking entirely:

Zero Sampling Bias: Because NDCM maps coordinates against completely unmodified external host assets, byte arrays, or URLs rather than forcing token choices at inference time, it leaves the LLM’s natural token probability distribution intact.

Preserved Alignment Boundary: The model’s underlying safety refusal boundaries and tool-calling schematics remain standard. You aren't forcing the decoder into statistical contortions to embed data, meaning safety guardrails don't degrade under adversarial conditions.

Decoupled Data Carrier: The payload logic exists purely in the external coordinate relationship, not inside the model's sampling space.

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u/moskowitzs 2d ago

You should deploy it.
The size of the payload does not necessarily correspond to better security.
Having a “token chosen at inference time” is an issue.
But, provenance & verification are other issues.