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Fu Teng

1 accepted papers

2026

Do Not Merge My Model! Safeguarding Open-Source LLMs Against Unauthorized Model Merging

AAAI 2026technical

Model merging has emerged as an efficient technique for expanding large language models (LLMs) by integrating specialized expert models. However, it also introduces a new threat: model merging stealing, where free-riders exploit models through unauthorized model merging. Unfortunately, existing defe

Cited by 0SourcePDFScholar