Side channel attacks for architecture extraction of neural networks
Abstract Side channel attacks (SCAs) on neural networks (NNs) are particularly efficient for retrieving secret information from NNs. We differentiate multiple types of threat scenarios regarding what kind of information is available before the attack and its purpose: recovering hyperparameters (the...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-03-01
|
Series: | CAAI Transactions on Intelligence Technology |
Online Access: | https://doi.org/10.1049/cit2.12026 |