Highly efficient secure linear algebra for private machine learning classifications over malicious clients in the post-quantum world

Over the last decade there has a been widespread usage of Machine Learning (ML) classifiers in cases such accurate disease diagnosis at clinics, credit card fraud detection in banks, cyber-attacks prevention of computer systems in different industries, etc. However, privacy and security concerns and...

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Bibliographic Details
Main Authors: Artrim Kjamilji, Osman Berke Güney
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157823002720