Artificial Intelligence #large language models#artificial intelligence
From Construction to Injection: Edit-Based Fingerprints for Large Language Models
A new arXiv paper introduces an end-to-end injected fingerprinting framework for large language models (LLMs), addressing the dual challenges of imperceptibility and robustness. The proposed methods—Code-mixing Fingerprints (CF) and Multi-Candidate Editing (MCEdit)—aim to provide reliable ownership verification in black-box deployments without degrading model utility.
Jun 21, 2026 1 source