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

Reported by arXiv cs.CR (Jasleen Kaur, Chlo\'e Cachet, Koray Karabina, Jean Belo Klamti, Philippe Lamontagne)

Summary by Cyber Security News16 Oct 2026, 06:00 CET

About this summary. This is a short excerpt from the description that arXiv cs.CR published with its article. Cyber Security News did not report or verify the underlying story. Read the original: https://arxiv.org/abs/2610.20796

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.

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