Go to github.com/new and build something you would actually use. Then share it with the HEU community.
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This abstraction allows developers to switch between different HE schemes (e.g., from Paillier to BFV) with minimal code changes, fostering algorithm agility. Go to github
Stop treating Git like a cloud drive and start treating it like a portfolio. Whether you want to work at Huawei, pursue a PhD at MIT, or launch a startup, the commits you make today tell that story. Your GitHub gets you the job
To support complex mathematical operations (polynomials, neural network inference), HEU integrates with , wrapping the BFV (integer) and CKKS (approximate real numbers) schemes. This enables HEU to handle Multiparty Computation (MPC) scenarios requiring complex arithmetic on encrypted data.
: It supports multiple partially homomorphic encryption (PHE) algorithms, while fully homomorphic encryption (FHE) support is currently under development.
HEU abstracts cryptographic operations using a "Device" model, similar to how modern deep learning frameworks (like PyTorch or TensorFlow) handle hardware acceleration (CPU/GPU).