"ESCAPED: Efficient Secure and Private Dot Product Framework for ..."

Ali Burak Ünal, Mete Akgün, Nico Pfeifer (2021)

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DOI: 10.1609/AAAI.V35I11.17199

access: open

type: Conference or Workshop Paper

metadata version: 2023-09-04

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Ali Burak Ünal, Mete Akgün, Nico Pfeifer:
ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare. AAAI 2021: 9988-9996

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