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ZENODO
Software . 2024
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2024
License: CC BY
Data sources: Datacite
ZENODO
Software . 2024
License: CC BY
Data sources: Datacite
ZENODO
Software . 2024
License: CC BY
Data sources: Datacite
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LmTest leakage testing tool

Authors: Barthe, Gilles; Böhme, Marcel; Cauligi, Sunjay; Chuengsatiansup, Chitchanok; Genkin, Daniel; Guarnieri, Marco; Mateos Romero, David; +3 Authors

LmTest leakage testing tool

Abstract

LmTest is a testing framework for exploring the security impact of future microarchitectural optimizations by automatically detecting leaks in cryptographic implementations. For this, LmTest is parametric in a given leakage that captures, at program level, what information might be leaked by the proposed microarchitectural optimization. LmTest supports leakage models formalized in the LmSpec language, an expressive domain-specific language supporting the specification of leakage clauses (capturing which information is leaked) and prediction clauses (which specifies the prediction mechanism supported by the microarchitecture and what their effects are). This repository is a snapshot of the artifact associated with the CCS 2024 paper "Testing side-channel security of cryptographic implementations against future microarchitectures". The live version of this repository is available at https://github.com/hw-sw-contracts/leakage-model-testing.

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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
Average
Average