The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/3474534d-0c85-40a3-a00c-bbc9193b55d0

Krček, Marina (2024): Data underlying the publication: A Comparison of Weight Initializers in Deep Learning-based Side-channel Analysis. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/3474534d-0c85-40a3-a00c-bbc9193b55d0.v1

Dataset

• Other Information and Computing Sciences
• Information and Computing Sciences

Deep learning, Side-channel Analysis, Weight initialization

CC BY 4.0

• Data collection for PhD thesis: Implementation Attacks Powered by Artificial Intelligence

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Marina Krček

Zip file with results for publication: A Comparison of Weight Initializers in Deep Learning-based Side-channel Analysis. 

This dataset holds all the results of experiments performed within this publication, including results that did not fit into the publication's page limits but were relevant to the conclusions. Data within this dataset are figures with the results of performed deep learning-based side-channel attacks for the investigation of the influence of weight initializers on the attack performance. The publication provides more information on the experiments that were performed. The datasets used for the experiments are public side-channel datasets, which are also described in the publication and can be found online.

• 2024-05-14 first online, published, posted

4TU.ResearchData

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A Comparison of Weight Initializers in Deep Learning-based Side-channel Analysis

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems