# PySEAL: A Python wrapper implementation of the SEAL homomorphic encryption library

arXiv: https://arxiv.org/abs/1803.01891 · HTML: https://mlsanity.com/paper/1803.01891/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 Mar 2018.

## Built on by (most cited first, 1 of 1)

- [Dopamine: Differentially Private Federated Learning on Medical Data](https://mlsanity.com/paper/2101.11693/) (2021)

## Abstract (arXiv)

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.