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CryptoNets-with-Python

Welcome! This project aims to replicate the work done in this paper.

Requirement:

  • TensorFlow 1.8.0
  • Python 3
  • A C++11 compiler

Compiling instruction

To compile the project, enter the SEAL folder, generate the Makefile and compile the seal library:

cd ./SEAL/
./configure
make

Then, in the parent folder, compile the wrapper.cpp file like this:

cd ..
g++ -std=c++11 -I SEAL -L SEAL/bin -fPIC -shared wrapper.cpp -o SEAL/libseal.so -lseal

Running the code

The project consists of 5 files: train.py, pre_encode.py, infere_plain.py, infere_enc.py and post_decode.py. They must be executed sequentially, refer to page 15 of the report for more details.

Attention! The execution of these files, especially infere_enc.py, can take a long time (even beyond 10 hours), depending on the machine used.

Genereting a new set of keys

The project is already supplied with a set of keys. If you want to generate a new set of keys you can do it using the API provided by the file wrapper.py in this way:

python3
from wrapper import SEAL
SEALobj = SEAL()
SEALobj.generate_new_keys()