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Paper

Robust LLM Watermarking with Minimal Semantic Distortion for IP Protection

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AI summary

arXiv:2605. 23175v1 Announce Type: new Abstract: Proprietary large language models (LLMs) face risks of intellectual property (IP) violation, as adversaries can replicate an LLM by collecting input-output pairs to train a surrogate model, causing financial setbacks.