Abstract
We propose a HE-based protocol for trading ML models and describe possible improvements to the protocol to make the overall transaction more efficient and secure.
Original language | English |
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Title of host publication | Protecting Privacy through Homomorphic Encryption |
Editors | Kristin Lauter, Kim Laine, Wei Dai |
Number of pages | 8 |
Publication status | Accepted/In press - 3 Mar 2020 |
MoE publication type | A4 Article in a conference publication |