Privacy-Preserving Text Inference for Health-Misinformation Classification and Semantic Retrieval

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arXiv:2610.20796v1 Announce Type: new Abstract: Health-misinformation analysis presents a dual challenge: misleading claims can affect public well-being, while systems designed to detect them may expose sensitive user-submitted text. This motivates privacy-preserving inference for public-health applications in which user queries may contain confidential medical information and trained models and reference databases are maintained on organizational servers. We design a privacy-preserving text in