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 language | English |
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Title of host publication | ICTC 2023 - 14th International Conference on Information and Communication Technology Convergence |
Subtitle of host publication | Exploring the Frontiers of ICT Innovation |
Publisher | IEEE Computer Society |
Pages | 1462-1467 |
Number of pages | 6 |
ISBN (Electronic) | 9798350313277 |
DOIs | |
Publication status | Published - 2023 |
Event | 14th International Conference on Information and Communication Technology Convergence, ICTC 2023 - Jeju Island, Korea, Republic of Duration: 2023 Oct 11 → 2023 Oct 13 |
Publication series
Name | International Conference on ICT Convergence |
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ISSN (Print) | 2162-1233 |
ISSN (Electronic) | 2162-1241 |
Conference
Conference | 14th International Conference on Information and Communication Technology Convergence, ICTC 2023 |
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Country/Territory | Korea, Republic of |
City | Jeju Island |
Period | 23/10/11 → 23/10/13 |
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