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Highly efficient secure linear algebra for private machine learning classifications over malicious clients in the post-quantum world
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A. KJAMILJI And O. B. Güney, "Highly efficient secure linear algebra for private machine learning classifications over malicious clients in the post-quantum world," Journal of King Saud University - Computer and Information Sciences , vol.35, no.9, 2023

KJAMILJI, A. And Güney, O. B. 2023. Highly efficient secure linear algebra for private machine learning classifications over malicious clients in the post-quantum world. Journal of King Saud University - Computer and Information Sciences , vol.35, no.9 .

KJAMILJI, A., & Güney, O. B., (2023). Highly efficient secure linear algebra for private machine learning classifications over malicious clients in the post-quantum world. Journal of King Saud University - Computer and Information Sciences , vol.35, no.9.

KJAMILJI, ARTRIM, And Osman Berke Güney. "Highly efficient secure linear algebra for private machine learning classifications over malicious clients in the post-quantum world," Journal of King Saud University - Computer and Information Sciences , vol.35, no.9, 2023

KJAMILJI, ARTRIM And Güney, Osman B. . "Highly efficient secure linear algebra for private machine learning classifications over malicious clients in the post-quantum world." Journal of King Saud University - Computer and Information Sciences , vol.35, no.9, 2023

KJAMILJI, A. And Güney, O. B. (2023) . "Highly efficient secure linear algebra for private machine learning classifications over malicious clients in the post-quantum world." Journal of King Saud University - Computer and Information Sciences , vol.35, no.9.

@article{article, author={ARTRIM KJAMILJI And author={Osman Berke Güney}, title={Highly efficient secure linear algebra for private machine learning classifications over malicious clients in the post-quantum world}, journal={Journal of King Saud University - Computer and Information Sciences}, year=2023}