Papers by Tsubasa Takahashi

1 papers
MergePrint: Merge-Resistant Fingerprints for Robust Black-box Ownership Verification of Large Language Models (2025.acl-long)

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Challenge: Model merging introduces a novel risk of unauthorized use of large language models due to the high cost of training.
Approach: They propose a model merging method that embeds robust fingerprints into models . they aim to protect LLMs from misappropriation via model merg and model theft .
Outcome: The proposed method enables black-box ownership verification without accessing model weights or intermediate outputs.

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