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Document type:
Konferenzbeitrag
Author(s):
Brosch, Manuel and Probst, Matthias and Sigl, Georg
Title:
Counteract Side-Channel Analysis of Neural Networks by Shuffling
Abstract:
Machine learning is becoming an essential part in almost every electronic device. Implementations of neural networks are mostly targeted towards computational performance or memory footprint. Nevertheless, security is also an important part in order to keep the network secret and protect the intellectual property associated to the network. Especially, since neural network implementations are demonstrated to be vulnerable to side-channel analysis, powerful and computational cheap countermeasures...    »
Keywords:
neural networks, side-channel analysis, counter- measure, shuffling
Dewey Decimal Classification:
620 Ingenieurwissenschaften
Book / Congress title:
2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)
Congress (additional information):
Antwerp, Belgium
Date of congress:
14.-23.03.2022
Publisher:
IEEE
Year:
2022
Quarter:
1. Quartal
Year / month:
2022-03
Month:
Mar
Reviewed:
ja
Language:
en
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