SecureNN MVP

[iamtrask]

Description

This PR has a basic implementation of the algorithms specified in (https://eprint.iacr.org/2018/442.pdf). It also implements a new tensor type _SNNTensor which extends _SPDZTensor with new functionality for relu()

Fixes #1509

Type of change

Please delete options that are not relevant.

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• This change requires a documentation update

How Has This Been Tested?

Please describe the tests that you ran to verify your changes. Provide instructions so we can reproduce. Please also list any relevant details for your test configuration

• securenn.TestSecureNN.test_private_compare
• torch_test.TestSNNTensor.test_mpc_relu

Test Configuration:

• CPU:
• GPU:
• PySyft Version:
• Unity Version:
• OpenMined Unity App Version:

Checklist:

• My code follows the style guidelines of this project
• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas
• I have made corresponding changes to the documentation
• My changes generate no new warnings
• I have added tests that prove my fix is effective or that my feature works
• New and existing unit tests pass locally with my changes
• Any dependent changes have been merged and published in downstream modules