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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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
Dataset . 2022
License: CC BY
Data sources: Datacite
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
Dataset . 2022
License: CC BY
Data sources: ZENODO
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Dataset for paper "1-to-1 or 1-to-n? Investigating the effect of function inlining on binary similarity analysis"

Authors: Jia, Ang;

Dataset for paper "1-to-1 or 1-to-n? Investigating the effect of function inlining on binary similarity analysis"

Abstract

This is the dataset constructed and used in the paper "1-to-1 or 1-to-n? Investigating the effect of function inlining on binary similarity analysis". We release it with its ground truth labels to facilitate further research in binary similarity analysis under function inlining. Besides, we also welcome others to find miss-labeling in this dataset and fix them. We hope our dataset could help researchers conduct their studies and improve the binary similarity analysis techniques. Binaries of dataset-I can also be accessed from https://github.com/SoftSec-KAIST/BinKit. It is named the "normal dataset". Any miss-labeling can be reported at https://github.com/island255/TOSEM2022. Using this dataset, please cite our paper, "1-to-1 or 1-to-n? Investigating the effect of function inlining on binary similarity analysis".

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