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Ponytail: Maliciously secure matrix multiplication supplementary code

Disclaimer: This code is being released solely for the purpose of reducing duplication of academic work. The code contains most (only the online benchmarking was done using MP-SPDZ) of the components used in the paper. The authors will not be able to actively provide support or assistance in this but feel free to create pull requests if you have important improvements that might assist others.

Table of Contents


Requirements

Most dependencies should be built from the install.sh script (other than basic ones which can be installed using apt install *)


Source Code

Most of the code resides in the src folder. The Microsoft SEAL backend was probably (sorry) version 3.3.0. Most of the relevant code is in ./src/


Building the code

To build the executable main, run the following commands:

./install.sh
mkdir build; cd build
cmake ..
make -j

Running the code

./main 

References

For most of the HE stuff, refer to the Microsoft SEAL library and the tutorials, they are extensive and very good. For technical aspects, the paper and the references there in should be a good resource. To cite this work:

@inproceedings{chen2020maliciously,
  title={{Maliciously Secure Matrix Multiplication with Applications to Private Deep Learning}},
  author={Chen, Hao and Kim, Miran and Razenshteyn, Ilya and Rotaru, Drago\c{s} and Song, Yongsoo and Wagh, Sameer},
  booktitle={Advances in Cryptology -- ASIACRYPT},
  year={2020}
}

If there are any issues running the code, create a git issue but know that you're generally on your own. Good luck!

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Supplementary code for ponytail

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