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News/FPEdit: Robust LLM Fingerprinting through Localized Parameter Editing
arxiv
PublishedJuly 31, 2026 at 4:00 AM
▲bullish

FPEdit: Robust LLM Fingerprinting through Localized Parameter Editing

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arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2508.02092v3 Announce Type: replace-cross Abstract: Large language models represent significant investments in computation, data, and engineering expertise, making them extraordinarily valuable intellectual assets. Nevertheless, these AI assets remain vulnerable to unauthorized redistribution

Models mentioned
01
  • 01decapoda-research logo
    llama-7b-hf
    decapoda-research/llama-7b-hf
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Mentioned models
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  • 01
    llama-7b-hf
    decapoda-research/llama-7b-hf
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04
#fingerprinting#language-models#security#provenance

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Mentioned models
01
  • 01
    llama-7b-hf
    decapoda-research/llama-7b-hf
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#fingerprinting#language-models#security#provenance

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