NeuroSCA: Evolving Activation Functions for Side-Channel Analysis
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- @Article{Knezevic:2023:IEEEAccess,
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author = "Karlo Knezevic and Juraj Fulir and
Domagoj Jakobovic and Stjepan Picek and Marko Durasevic",
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journal = "IEEE Access",
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title = "{NeuroSCA:} Evolving Activation Functions for
Side-Channel Analysis",
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year = "2023",
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volume = "11",
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pages = "284--299",
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abstract = "The choice of activation functions can significantly
impact the performance of neural networks. Due to an
ever-increasing number of new activation functions
being proposed in the literature, selecting the
appropriate activation function becomes even more
difficult. Consequently, many researchers approach this
problem from a different angle, in which instead of
selecting an existing activation function, an
appropriate activation function is evolved for the
problem at hand. In this paper, we demonstrate that
evolutionary algorithms can evolve new activation
functions for side-channel analysis (SCA),
outperforming ReLU and other activation functions
commonly applied to that problem. More specifically, we
use Genetic Programming to define and explore candidate
activation functions (neuroevolution) in the form of
mathematical expressions that are gradually improved.
Experiments with the ASCAD database show that this
approach is highly effective compared to results
obtained with standard activation functions and that it
can match the state-of-the-art results from the
literature. More precisely, the obtained results for
the ASCAD fixed key dataset demonstrate that the
evolved activation functions can improve the current
state-of-the-art by achieving a guessing entropy of 287
for the Hamming weight model and 115 for the Identity
leakage model, compared to 447 and 120 obtained in the
literature.",
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/ACCESS.2022.3232064",
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ISSN = "2169-3536",
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notes = "Also known as \cite{9998512}",
- }
Genetic Programming entries for
Karlo Knezevic
Juraj Fulir
Domagoj Jakobovic
Stjepan Picek
Marko Durasevic
Citations