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Gimme That Model!: A Trusted ML Model Trading Protocol

In: Protecting Privacy through Homomorphic Encryption

Author

Listed:
  • Laia Amorós

    (Aalto University)

  • Syed Mahbub Hafiz

    (Indiana University-Bloomington)

  • Keewoo Lee

    (Seoul National University)

  • M. Caner Tol

    (Worcester Polytechnic Institute)

Abstract

We propose a homomorphic-encryption-based protocol for secure trading of machine learning models. We also describe possible improvements to the protocol to make the overall transaction more efficient and secure.

Suggested Citation

  • Laia Amorós & Syed Mahbub Hafiz & Keewoo Lee & M. Caner Tol, 2021. "Gimme That Model!: A Trusted ML Model Trading Protocol," Springer Books, in: Kristin Lauter & Wei Dai & Kim Laine (ed.), Protecting Privacy through Homomorphic Encryption, pages 147-155, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-77287-1_11
    DOI: 10.1007/978-3-030-77287-1_11
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