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Comparison of training parameters of DPA contest v4 dataset.

Comparison of training parameters of DPA contest v4 dataset.

<p>Comparison of training parameters of DPA contest v4 dataset.</p>

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Bibliographic Details
Main Author: Hai Huang (140371) (author)
Other Authors: Jinming Wu (7432031) (author), Xinling Tang (2247616) (author), Shilei Zhao (16859704) (author), Zhiwei Liu (151279) (author), Bin Yu (14464) (author)
Published: 2025
Subjects:
Science Policy
Space Science
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
utilizes lstm layers
low training efficiency
demonstrated superior efficiency
achieves faster convergence
stacking network layers
based network structure
channel attack performance
based improved side
channel attacks compared
network captures
channel datasets
channel attacks
traditional methods
thereby achi
temporal coherence
spatial details
skip connections
results indicate
parallel processing
paper proposes
keys requires
input data
increased algorithmic
experimental evaluations
deep learning
computational complexity
comparative studies
ascad dataset
30 traces
1 trace
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