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 |
Publisher | Springer |
Pages | 147-155 |
Number of pages | 8 |
Edition | 1 |
ISBN (Electronic) | 978-3-030-77287-1 |
ISBN (Print) | 978-3-030-77286-4 |
DOIs | |
Publication status | Published - 2021 |
MoE publication type | A3 Book section, Chapters in research books |