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Guo Zhenyuan

2 accepted papers

2025

Be Cautious When Merging Unfamiliar LLMs: A Phishing Model Capable of Stealing Privacy

ACL 2025finding

Model merging is a widespread technology in large language models (LLMs) that integrates multiple task-specific LLMs into a unified one, enabling the merged model to inherit the specialized capabilities of these LLMs. Most task-specific LLMs are sourced from open-source communities and have not unde…

2025

R.R.: Unveiling LLM Training Privacy through Recollection and Ranking

ACL 2025finding

Large Language Models (LLMs) pose significant privacy risks, potentially leaking training data due to implicit memorization. Existing privacy attacks primarily focus on membership inference attacks (MIAs) or data extraction attacks, but reconstructing specific personally identifiable information (PI…