Gimme That Model!: A Trusted ML Model Trading Protocol

Laia Amorós (), Syed Mahbub Hafiz (), Keewoo Lee () and M. Caner Tol ()
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Laia Amorós: Aalto University
Syed Mahbub Hafiz: Indiana University-Bloomington
Keewoo Lee: Seoul National University
M. Caner Tol: Worcester Polytechnic Institute

A chapter in Protecting Privacy through Homomorphic Encryption, 2021, pp 147-155 from Springer

Abstract: 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.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-77287-1_11

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DOI: 10.1007/978-3-030-77287-1_11

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