Papers by Zhirui Zeng

1 papers
S-RAG: A Novel Audit Framework for Detecting Unauthorized Use of Personal Data in RAG Systems (2025.acl-long)

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Challenge: Retrieval-Augmented Generation (RAG) systems rely on external data for accurate and context-specific responses.
Approach: They propose a framework that enables users to determine whether their textual data has been utilized in RAG systems even in black-box settings with no prior system knowledge.
Outcome: The proposed framework achieves an improvement in Accuracy by 19.9% while maintaining strong performance under adversarial defenses.

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