Linux下使用SEAL同态加密,pyseal: pyseal 是一个 Python 同态加密库，它使用用于 Python 与 C++ 之间相互暴露类型的 pybind11 库，将微软开源的同态加密库...
Microsoft SEAL For Python
Microsoft SEAL is an easy-to-use open-source (MIT licensed) homomorphic encryption library developed by the Cryptography Research group at Microsoft.
pybind11 is a lightweight header-only library that exposes C++ types in Python and vice versa, mainly to create Python bindings of existing C++ code.
This is a python binding for the Microsoft SEAL library.
Contents
Build
Linux
Clang++ (>= 5.0) or GNU G++ (>= 6.0), CMake (>= 3.12)
# Optional
sudoapt-get installbuild-essential cmake python3 python3-dev python3-pip
# Get the repository or download from the releases
git clone https://github.com/Huelse/SEAL-Python.git
cdSEAL-Python
# Numpy is essential
pip3 install -r requirements.txt
# Init the SEAL and pybind11
git submodule init && git submodule update
# Get the newest repositories
git submodule update --remote
# Build the SEAL lib
cdSEAL
cmake -S . -B build -DSEAL_USE_MSGSL=OFF -DSEAL_USE_ZLIB=OFF -DSEAL_USE_ZSTD=OFF
cmake --build build
cd ..
# Run the setup.py
python3 setup.py build_ext -i
Windows
Visual Studio 2019 or newer is required. And use the x64 Native Tools Command Prompt for Visual Studio 2019 command prompt to configure and build the Microsoft SEAL library. It's usually can be found in your Start Menu.
# Same as above
# Build the SEAL library
cmake -S . -B build -G Ninja -DSEAL_USE_MSGSL=OFF -DSEAL_USE_ZLIB=OFF -DSEAL_USE_ZSTD=OFF
cmake --build build
# Run the setup.py
python setup.py build_ext -i
Generally, the Ninja generator is better than the "Visual Studio 16 2019" generator, and there is more information in the Microsoft SEAL official illustrate.
Note
Serialize
In most situations, you can use the SEAL's native serialize API to save the data, here is an example:
cipher.save('cipher')
load_cipher = Ciphertext()
load_cipher.load(context, 'cipher') # work if the context is valid.
Support type: Encryptionparams, Ciphertext, Plaintext, SecretKey, Publickey, Relinkeys, Galoiskeys
Particularly, if you want to use the pickle to serialize your data, you need to do these things like below:
# 1. Modify the serializable object's header file in SEAL and switch the wrapper.
python helper.py
# 2. Rebuild the SEAL lib like above
cmake --build build
# 3. Run the setup.py
python setup.py build_ext -i
Then, you can pickle the data object like this:
import pickle
cipher.set_parms(parms) # necessary
cipher_dump = pickle.dumps(cipher)
cipher_load = pickle.loads(cipher_dump)
Generally, we don't use compression library.
Other
There are a lot of changes in the latest SEAL lib, we try to make the API in python can be used easier, it may remain some problems we unknown, if any problems(bugs), Issue please.
FAQ
ImportError: undefined symbol
Build a shared SEAL library cmake . -DBUILD_SHARED_LIBS=ON, and get the libseal.so,
then change the path in setup.py, and rebuild.
ImportError: libseal.so... cannot find
a. sudo ln -s /path/to/libseal.so /usr/lib
b. add /usr/local/lib or the SEAL/native/lib to /etc/ld.so.conf and refresh it sudo ldconfig
c. build in cmake.
BuildError: C++17 at least
ModuleNotFoundError: No module named 'seal'
The .so or .pyd file must be in the current directory, or you have install it already.
Contributing