2025
Merger-as-a-Stealer: Stealing Targeted PII from Aligned LLMs with Model Merging
EMNLP 2025
Model merging has emerged as a promising approach for updating large language models (LLMs) by integrating multiple domain-specific models into a cross-domain merged model. Despite its utility and plug-and-play nature, unmonitored mergers can introduce significant security vulnerabilities, such as b