tno.mpc.protocols.secure-comparison
TNO PET Lab - secure Multi-Party Computation (MPC) - Protocols - Secure Comparison
tno.mpc.protocols.distributed-keygen
TNO PET Lab - secure Multi-Party Computation (MPC) - Protocols - Distributed Keygen
tno.mpc.encryption-schemes.paillier
TNO PET Lab - secure Multi-Party Computation (MPC) - Encryption Schemes - Paillier
tno.mpc.protocols.kaplan-meier
TNO PET Lab - secure Multi-Party Computation (MPC) - Protocols - Kaplan-Meier
https://github.com/zama-ai/concrete-ml
Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.
https://github.com/alan-turing-institute/sheep
SHEEP is a Homomorphic Encryption Evaluation Platform
dpaillier
TNO PET Lab - secure Multi-Party Computation (MPC) - Distributed Paillier
tno.mpc.protocols.secure-inner-join
TNO PET Lab - secure Multi-Party Computation (MPC) - Protocols - Secure Inner Join
pyfhel
PYthon For Homomorphic Encryption Libraries, perform encrypted computations such as sum, mult, scalar product or matrix multiplication in Python, with NumPy compatibility. Uses SEAL/PALISADE as backends, implemented using Cython.
io.github.andrewquijano:ciphercraft
Contains Packages for ElGamal, Paillier, Goldweiser-Micali and DGK Homomorphic Encryption System. Also implements secure multiplication, division and comparison.
tno.mpc.protocols.risk-propagation
TNO PET Lab - secure Multi-Party Computation (MPC) - Protocols - Secure Risk Propagation
swift-homomorphic-encryption
Homomorphic Encryption library and applications in Swift
tno.mpc.encryption-schemes.bgv
TNO PET Lab - secure Multi-Party Computation (MPC) - Encryption Schemes - BGV
adaptivebatchhe
An adaptive batch homomorphic encryption framework for cross-device Federated Learning, which determines cost-efficient and sufficiently secure encryption strategies for clients with heterogeneous data and system capabilities.