A Python 3 library for Partially Homomorphic Encryption.
The homomorphic properties of the paillier crypto system are:
- Encrypted numbers can be multiplied by a non encrypted scalar.
- Encrypted numbers can be added together.
- Encrypted numbers can be added to non encrypted scalars.
Running unit tests
python setup.py test
Or use nose:
Note related to gmpy2
gmpy2 is not required to use the library, but is preferred. A pure Python implementation is available but gmpy2 drastically improves performances. As indication on a laptop not dedicated to benchmarking, running the example examples/federated_learning_with_encryption.py provided in the library took: - 4.5s with gmpy2 installed - 35.7s without gmpy2 installed
However, gmpy2 is a requirement to run the tests.
Developed at Data61 | CSIRO.
Parts derived from the Apache licensed Google project: https://code.google.com/p/encrypted-bigquery-client/
This code has neither been written nor vetted by any sort of crypto expert. The crypto parts are mercifully short, however.