
# Analysis Artefacts for the Research Paper: "Double Strike: Breaking Approximation-based Side-Channel Countermeasures for DNNs" This archive contains, for each studied implementation, the: - Side-channel traces; - Inputs; - Random values fed to the MACPruning mechanism to skip the non-important; weights (only for the protected implementation); - Sequence of executed MAC/important weights (only for the circumvented/protected implementation); - Parameters characterising each side-channel acquisition. This archive complements the published code artefacts ("https://github.com/DoktorC/double-strike-host2026") for the paper"Double Strike: Breaking Approximation-based Side-Channel Countermeasures for DNNs" (To appear in HOST 2026).
Deep Neural Networks, Side-Channel Analysis, Hardware Security, Approximate Computing, Embedded Systems, Artefacts
Deep Neural Networks, Side-Channel Analysis, Hardware Security, Approximate Computing, Embedded Systems, Artefacts
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
