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Learning from Functionality Outputs: Private Join and Compute in the Real World

Authors: Falzon, Francesca; Tang, Tianxin;

Learning from Functionality Outputs: Private Join and Compute in the Real World

Abstract

Artifact description (availability) In this artifact, we include the code for all four of our attacks (the search tree, MLE, DFT, and compressed sensing attacks) and instructions for reproducing our results. Our artifact is structured as follows. In the top-level directory, there are two directories: (1) “search_tree” which contains the implementation, benchmarking script, and random data generation for the search-tree attack, and (2) “cs_dft_mle” which contains the implementation, benchmarking script, and random data generation for the compressed sensing, discrete fourier transform, and maximum-likelihood estimation attacks. Each of these two directories contains a file named “requirements.txt” which contains a list of all the dependencies needed for the respective attacks and a “README.md” file that provides a detailed description of how to run the code and reproduce our experiments. Funding Francesca Falzon is supported by Armasuisse Science and Technology. Tianxin Tang is supported by an NWO VIDI grant (Project No. VI.Vidi.193.066).

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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