Liberate.FHE is an open-source Ful 8000 ly Homomorphic Encryption (FHE) library for bridging the gap between theory and practice with a focus on performance and accuracy.
Liberate.FHE is designed to be user-friendly while delivering robust performance, high accuracy, and a comprehensive suite of convenient APIs for developing real-world privacy-preserving applications.
Liberate.FHE is a pure Python and CUDA implementation of FHE. So, Liberate.FHE supports multi-GPU operations natively.
The main idea behind the design decisions is that non-cryptographers can use the library; it should be easily hackable and integrated with more extensive software frameworks.
Additionally, several design decisions were made to maximize the usability of the developed software:
- Make the number of dependencies minimal.
- Make the software easily hackable.
- Set the usage of multiple GPUs as the default.
- Make the resulting library easily integrated with the pre-existing software, especially Artificial Intelligence (AI) related ones.
- RNS-CKKS scheme is supported.
- Python is natively supported.
- Multiple GPU acceleration is supported.
- Multiparty FHE is supported.
from liberate import fhe
from liberate.fhe import presets
# Generate CKKS engine with preset parameters
grade = "silver" # logN=15
params = presets.params[grade]
engine = fhe.ckks_engine(**params, verbose=True)
# Generate Keys
sk = engine.create_secret_key()
pk = engine.create_public_key(sk)
evk = engine.create_evk(sk)
# Generate test data
m0 = engine.example(-1, 1)
m1 = engine.example(-10, 10)
# encode & encrypt data
ct0 = engine.encorypt(m0, pk)
ct1 = engine.encorypt(m1, pk, level=5)
# (a + b) * b - a
result = (m0 + m1) * m1 - m0
ct_add = engine.add(ct0, ct1) # auto leveling
ct_mult = engine.mult(ct1, ct_add, evk)
ct_result = engine.sub(ct_mult, ct0)
# decrypt & decode data
result_decrypted = engine.decrode(ct_result, sk)If you would like a detailed explanation, please refer to the official documentation.
git clone https://github.com/Desilo/liberate-fhe.git
cd liberate-fhepoetry install
poetry add setuptoolspoetry run python setup.py installpython setup.py install
git clone https://github.com/Desilo/liberate-fhe.git
cd liberate-fhepip install setuptools
pip install -e .python setup.py installPlease refer to Liberate.FHE for detailed installation instructions, examples, and documentation.
@Misc{Liberate_FHE,
title={{Liberate.FHE: A New FHE Library for Bridging the Gap between Theory and Practice with a Focus on Performance and Accuracy}},
author={DESILO},
year={2023},
note={\url{https://github.com/Desilo/liberate-fhe}},
}
- Liberate.FHE is available under the BSD 3-Clause Clear license. If you have any questions, please contact us at contact@desilo.ai.