Yang Xiang
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The paper introduces MEntA, a highly query-efficient and surrogate-free membership inference attack that uses natural-language entailment to detect if a specific document was used by a RAG system, achieving high accuracy with only five queries.
The paper proposes ESRT, an edge-cloud framework that achieves state-of-the-art, bandwidth-efficient, and privacy-preserving many-to-many speech translation across 45 languages by splitting the model inference.
Papers
Bandwidth-Efficient and Privacy-Preserving Edge-Cloud Many-to-Many Speech Translation
Yexing Du, Kaiyuan Liu, Youcheng Pan, Bo Yang +3 more
The paper proposes ESRT, an edge-cloud framework that achieves state-of-the-art, bandwidth-efficient, and privacy-preserving many-to-many speech translation across 45 languages by splitting the model…