he-transformer | Deep learning with Homomorphic Encryption | Machine Learning library

by IntelAI C++ Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets(3)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | he-transformer Summary

he-transformer is a C++ library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. he-transformer has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

The Intel HE transformer for nGraph is a Homomorphic Encryption (HE) backend to the Intel nGraph Compiler, Intel's graph compiler for Artificial Neural Networks. Homomorphic encryption is a form of encryption that allows computation on encrypted data, and is an attractive remedy to increasing concerns about data privacy in the field of machine learning. For more information, see our original paper. Our updated paper showcases many of the recent advances in he-transformer. This project is meant as a proof-of-concept to demonstrate the feasibility of HE on local machines. The goal is to measure performance of various HE schemes for deep learning. This is not intended to be a production-ready product, but rather a research tool. Currently, we support the CKKS encryption scheme, implemented by the Simple Encrypted Arithmetic Library (SEAL) from Microsoft Research. To help compute non-polynomial activiations, we additionally integrate with the ABY multi-party computation library. See also the NDSS 2015 paper introducing ABY. For more details about our integration with ABY, please refer to our ARES 2020 paper. We also integrate with the Intel nGraph Compiler and runtime engine for TensorFlow to allow users to run inference on trained neural networks through Tensorflow.

Support

Quality

Security

License

Reuse

Support

he-transformer has a low active ecosystem.

It has 89 star(s) with 21 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 16 open issues and 12 have been closed. On average issues are closed in 14 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of he-transformer is current.

Quality

he-transformer has 0 bugs and 0 code smells.

Security

he-transformer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

he-transformer code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

he-transformer is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

he-transformer releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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he-transformer Key Features

No Key Features are available at this moment for he-transformer.

he-transformer Examples and Code Snippets

Creates a new transformer transformation transformer .

python

Lines of Code : 28

License : Non-SPDX (Apache License 2.0)

Copy

def _add_uniform_scaling_initializer_transformer(
    parent, node, full_name, name, logs):
  """Updates references to uniform_unit_scaling_initializer.

  Transforms:
  tf.uniform_unit_scaling_initializer(factor, seed, dtype) to
  tf.compat.v1.keras

He heap .

javascript

Lines of Code : 16

License : Permissive (MIT License)

Copy

function heapify(arr, length, i) {
  let largest = i;
  let left = i * 2 + 1;
  let right = left + 1;
  if (left < length && arr[left] > arr[largest]) {
    largest = left;
  }
  if (right < length && arr[right] > arr[larg

Get the he penalty .

java

Lines of Code : 3

License : Permissive (MIT License)

Copy

Integer getHealty() {
        return healty;
    }

Community Discussions

Trending Discussions on he-transformer

Undefined reference to function although linked against library

QUESTION

Undefined reference to function although linked against library

Asked 2020-Aug-05 at 21:08

I am trying to build the open source project he-transformer in a Docker container. This is a tool build on top of ngraph, which is connected via ngraph-bridge with tensorflow, to enable writing deep learning programs using a graph-based abstraction. he-transformer is an extension of ngraph that allows inference over encrypted data using homomorphic encryption.

I use the latest he-transformer commit on the master branch (6d5a5b39). The build process throws many undefined reference errors:

...

ANSWER

Answered 2020-Aug-05 at 21:08

Kudos for this hint to the repository maintainer of he-transformer, Fabian Boemer. He noticed that the logs indicate an issue with the CXX ABI. The issue is caused by compiling ngraph with an old version of g++ (< 5.1). The log confirms this, see compiler identification is GNU 4.8.5.

Removing the installation of gcc 4.8 from the Dockerfile so that the system's default is gcc-7 solved the issue and could successfully compile he-transformer.

Source https://stackoverflow.com/questions/63206829

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

Vulnerabilities

No vulnerabilities reported

Install he-transformer

Add and source the bin path to your ~/.bashrc file to call bazel.
Before building, make sure you deactivate any active virtual environments (i.e. run deactivate). Note, you may need sudo permissions to install he_seal_backend to the default location. To set a custom installation prefix, add the -DCMAKE_INSTALL_PREFIX=~/my_install_prefix flag to the above cmake command. See 1a and 1b for additional configuration options. To install, run the below command (note, this may take several hours. To speed up compilation with multiple threads, call make -j install).

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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