Papers with MI leakage

1 papers
Be Cautious When Merging Unfamiliar LLMs: A Phishing Model Capable of Stealing Privacy (2025.findings-acl)

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Challenge: Model merging is a widespread technology in large language models that integrates multiple task-specific LLMs into a unified one.
Approach: They propose a model merging approach that trains a phishing model capable of stealing privacy using a privacy phish instruction dataset.
Outcome: The proposed model cloaking method mimics a specialized capability to conceal attack intent, luring users into merging the phishing model.

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