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

Ali Burak Ünal, Mete Akgün, Nico Pfeifer (2020)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2020-12-09

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2012-02688
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2012-02688
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. CoRR abs/2012.02688 (2020)

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