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...

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Bibliographic Details
Main Authors: Hervé Chabanne, Jean‐Luc Danger, Linda Guiga, Ulrich Kühne
Format: Article
Language:English
Published: Wiley 2021-03-01
Series:CAAI Transactions on Intelligence Technology
Online Access:https://doi.org/10.1049/cit2.12026