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 |
|---|---|
| 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 |