Secure Dimensionality Reduction: Applying Linear Discriminant Analysis over the TFHE Homomorphic Encryption Scheme

Geonwoo Jeon, Mi Yeon Hong, Joon Soo Yoo, Ji Won Yoon, Baekkyung Song

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    In the context of the proliferating AI landscape, driven by entities like ChatGPT, the demand for extensive data utilization for training has surged, raising concerns about unauthorized data aggregation and privacy breaches. Paradoxically, this surge in data consumption has raised a critical concern - the breach of privacy stemming from unauthorized data aggregation. Sensitive data categories, including credit card details, medical records, and geographical locations, are particularly vulnerable to misuse. Homomorphic Encryption (HE), a post-quantum attack-resistant cryptographic technique, addresses this concern by enabling secure computations on encrypted data. However, HE's potential is hindered by limitations in evaluation speed, particularly evident in high-dimensional data analysis. This paper introduces contributions, including efficient inverse matrix computation, tailored eigenvector extraction via the power method for the TFHE scheme, and eigenvalue calculation using the Rayleigh quotient within TFHE. The feasibility of applying LDA in the encrypted domain is demonstrated using Fast Fully Homomorphic Encryption over the Torus (TFHE) scheme.

    Original languageEnglish
    Title of host publicationICTC 2023 - 14th International Conference on Information and Communication Technology Convergence
    Subtitle of host publicationExploring the Frontiers of ICT Innovation
    PublisherIEEE Computer Society
    Pages1462-1467
    Number of pages6
    ISBN (Electronic)9798350313277
    DOIs
    Publication statusPublished - 2023
    Event14th International Conference on Information and Communication Technology Convergence, ICTC 2023 - Jeju Island, Korea, Republic of
    Duration: 2023 Oct 112023 Oct 13

    Publication series

    NameInternational Conference on ICT Convergence
    ISSN (Print)2162-1233
    ISSN (Electronic)2162-1241

    Conference

    Conference14th International Conference on Information and Communication Technology Convergence, ICTC 2023
    Country/TerritoryKorea, Republic of
    CityJeju Island
    Period23/10/1123/10/13

    Bibliographical note

    Publisher Copyright:
    © 2023 IEEE.

    Keywords

    • Homomorphic Encryption
    • Linear Discriminant Analysis
    • Newton's method
    • Power method
    • TFHE

    ASJC Scopus subject areas

    • Information Systems
    • Computer Networks and Communications

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