Model-intrinsic, Weight-level, and Training-free Spectral Fingerprinting for Large Language Models

Reported by arXiv cs.CR (Yanan He, Yanli Chen, Ling Xiong, Gejian Zhao, Hanzhou Wu)

Summary by Cyber Security News23 Oct 2026, 06:00 CET

About this summary. This is a short excerpt from the description that arXiv cs.CR published with its article. Cyber Security News did not report or verify the underlying story. Read the original: https://arxiv.org/abs/2610.30626

arXiv:2610.30626v1 Announce Type: new Abstract: The increasing release and reuse of Large Language Models (LLMs) as open-weight checkpoints make model fingerprinting important for ownership protection and offline auditing. Existing fingerprinting methods typically construct evidence from query responses, generated outputs, or input-induced activations.

Read the full article at arXiv cs.CR →

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