Comparison of an Accelerated Garble Embedding Methodology for Privacy Preserving in Biomedical Data Analytics

dc.contributor.authorHristov-Kalamov, Nikola
dc.contributor.authorFernández-Ruiz, Raúl
dc.contributor.authorálvarez-Marquin, Agustín
dc.contributor.authorNúñez-Vidal, Esther
dc.contributor.authorDomínguez-Mateos, Francisco
dc.contributor.authorPalacios-Alonso, Daniel
dc.date.accessioned2025-07-30T11:16:56Z
dc.date.available2025-07-30T11:16:56Z
dc.date.issued2024-05-31
dc.description.abstractThis research work proposes a novel, encryption-based method for comparing embeddings generated by neural networks on various information types (text, images, videos, audio, etc.). This approach prioritizes real-world applications dealing with sensitive or private data, particularly in biomedical and biometric analysis, where even minor information leaks can be highly detrimental. To address this concern, the method performs all necessary calculations within a highly secure and efficient encryption layer. Notably, this work introduces practical solutions applicable to real-world biomedical data scenarios.
dc.identifier.citationHristov-Kalamov, N., Fernández-Ruiz, R., álvarez-Marquina, A., Núñez-Vidal, E., Domínguez-Mateos, F., Palacios-Alonso, D. (2024). Comparison of an Accelerated Garble Embedding Methodology for Privacy Preserving in Biomedical Data Analytics. In: Ferrández Vicente, J.M., Val Calvo, M., Adeli, H. (eds) Artificial Intelligence for Neuroscience and Emotional Systems. IWINAC 2024. Lecture Notes in Computer Science, vol 14674. Springer, Cham. https://doi.org/10.1007/978-3-031-61140-7_28
dc.identifier.doi10.1007/978-3-031-61140-7_28
dc.identifier.isbn978-3-031-61139-1
dc.identifier.issn0302-9743
dc.identifier.urihttps://hdl.handle.net/10115/96657
dc.language.isoen_US
dc.publisherSpringer
dc.rights.accessRightsinfo:eu-repo/semantics/closedAccess
dc.subjectBiomedical Data Analytics
dc.subjectDeep Learning
dc.subjectEmbedding distance
dc.subjectCryptography
dc.subjectOblivious Transfer
dc.subjectGarbled Circuits
dc.subjectHomomorphic Encryption
dc.titleComparison of an Accelerated Garble Embedding Methodology for Privacy Preserving in Biomedical Data Analytics
dc.typeBook chapter

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