Motivation: The ability to perform operations on encrypted data has a growing number of applications in bioinformatics, with implications for data privacy in health care and biosecurity. The SEAL library is a popular implementation of fully homomorphic encryption developed in C++ by Microsoft Research. Despite the advantages of C++, Python is a flexible and dominant programming language that enables rapid prototyping of bioinformatics pipelines. Results: In an effort to make homomorphic encryption accessible to a broader range of bioinformatics scientists and applications, we present a Python binding implementation of the popular homomorphic encryption library, SEAL, using pybind11. The software contains a Docker image to facilitate easy installation and execution of the SEAL build process. Availability: All code is publicly available at https://github.com/Lab41/PySEAL Contact: lab41@iqt.org Supplementary information: Supplementary information is available on the Lab41 GitHub.
Cite
@article{arxiv.1803.01891,
title = {PySEAL: A Python wrapper implementation of the SEAL homomorphic encryption library},
author = {Alexander J. Titus and Shashwat Kishore and Todd Stavish and Stephanie M. Rogers and Karl Ni},
journal= {arXiv preprint arXiv:1803.01891},
year = {2018}
}