PySEAL | Microsoft Research 's homomorphic encryption implementation | Cryptography library

by Lab41 C++ Version: 1.0 License: Non-SPDX

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kandi X-RAY | PySEAL Summary

PySEAL is a C++ library typically used in Security, Cryptography applications. PySEAL has no bugs, it has no vulnerabilities and it has low support. However PySEAL has a Non-SPDX License. You can download it from GitHub.

this repository is a proof of concept for adding a python wrapper to the (simple encrypted arithmetic library (seal))[a homomorphic encryption library, developed by researchers in the cryptography research group at microsoft research. currently, this uses the version 2.3 codebase and dockerizes the library build (including a shared runtime), c++ example build, and python wrapper build. the python wrapper is using pybind11. to build the wrapped python version of seal, first run the executable build-docker.sh. this creates a seal package that can be imported in python; to see examples of how to use this package in cryptography tasks, run the executable run-docker.sh (which runs the examples implemented in sealpythonexamples/examples.py). when using the seal library

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PySEAL has a low active ecosystem.

It has 193 star(s) with 82 fork(s). There are 15 watchers for this library.

It had no major release in the last 12 months.

There are 12 open issues and 17 have been closed. On average issues are closed in 78 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of PySEAL is 1.0

Quality

PySEAL has no bugs reported.

Security

PySEAL has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

PySEAL has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

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PySEAL releases are available to install and integrate.

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PySEAL Key Features

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PySEAL Examples and Code Snippets

No Code Snippets are available at this moment for PySEAL.

Community Discussions

Trending Discussions on PySEAL

How to encrypt data frame column through PySeal library

Can we perform division operation on encrypted data using Microsoft SEAL / PySEAL library

How to access CSV file (located in pc hdd) from a docker container with python pandas?

How to install scikit-learn, pandas and numpy in a docker image?

QUESTION

How to encrypt data frame column through PySeal library

Asked 2021-May-29 at 12:14

I am doing research on Fully homomorphic encryption. Since only fully homomorphic encryption allows to perform computation on encrypted data and this mechanism provides by the PySeal library which is a python fork version of the Microsoft SEAL library. I have 3 columns in my data frame. I want to encrypt each value of every column using PySeal that I can do computation on those value.

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ANSWER

Answered 2021-May-29 at 12:14

Interesting question, I can help you with using the library with pandas but not with setting secure encryption parameters like the moduli.

First let's do some imports:

Source https://stackoverflow.com/questions/67731271

QUESTION

Can we perform division operation on encrypted data using Microsoft SEAL / PySEAL library

Asked 2019-Jul-17 at 18:25

I am using PySEAL library, which is a fork of Microsoft SEAL homomorphic encryption library to implement Machine Learning algorithms on encrypted data. For this I would need to divide numbers. In the examples.py source code there are examples to perform addition, subtractions and multiplications, but not division. Is it possible to do divisions using PySEAL library? And if not, Is there any way around it like some trick to divide two numbers using other arithmetic operations in this library?

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ANSWER

Answered 2019-Jul-17 at 18:25

SEAL doesn't support division between ciphertexts. However, if you are looking to divide ciphertext by plaintext, you can use multiplication by inverse as shown below:

Source https://stackoverflow.com/questions/57016865

QUESTION

How to access CSV file (located in pc hdd) from a docker container with python pandas?

Asked 2019-Jul-12 at 17:58

I want to implement a Machine Learning algorithm which can operate on homomorphic data using PySEAL library. PySEAL library is released as a docker container with an 'examples.py' file which shows some homomorphic encryption example. I want to edit the 'examples.py' file to implement the ML algorithm. I trying to import a CSV file in this way -

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ANSWER

Answered 2019-Jul-12 at 17:58

You can either do it via the Docker build process (assuming you are the one creating the image) or through a volume mapping that would be accessed by the container during runtime.

Building source with Dataset.csv within

For access through the build, you could do a Docker Copy command to get the file within the workspace of the container

Source https://stackoverflow.com/questions/56992186

QUESTION

How to install scikit-learn, pandas and numpy in a docker image?

Asked 2019-Jul-09 at 18:49

I am doing a project using the PySEAL library. My project is Machine Learning related so I want to use scikit-learn, pandas and numpy libraries. How can I install these libraries so that I can use them in PySEAL docker container's code?

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ANSWER

Answered 2019-Jul-09 at 17:49

Within your python project, you can freeze the python packages with pip freeze and then add the following commands to your Dockerfile:

Source https://stackoverflow.com/questions/56957867

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install PySEAL

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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