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DoktorC/double-strike-host2026: Code Artefacts -- Double Strike: Breaking Approximation-based Side-Channel Countermeasures for DNNs

Authors: Lorenzo Casalino;

DoktorC/double-strike-host2026: Code Artefacts -- Double Strike: Breaking Approximation-based Side-Channel Countermeasures for DNNs

Abstract

This release contains the the analysis code and the MACPruning impleementation employed for the research article "Double Strike: Breaking Approximation-based Side-Channel Countermeasures for DNNs" (to appear in HOST 2026). This release complements the analysis artefacts available at https://zenodo.org/records/17965887.

Keywords

artefacts, deep neural networks, software, side-channel analysis, hardware security, embedded systems, approximate computing, countermeasure

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average