Semi-Honest-BMR
Secure computation framework
A C++ implementation of the semi-honest secure BMR protocol for multi-party computation.
5 stars
10 watching
4 forks
Language: C++
last commit: over 7 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 encryptogroup/aby | A framework for efficient mixed-protocol secure two-party computation | 465 |
 osu-crypto/batchdualex | An implementation of a secure protocol for two-party computation to protect the integrity and confidentiality of computations | 14 |
 secretflow/spu | A framework for provably secure computation and machine learning | 246 |
 azadkuh/mbedcrypto | A portable C++ library for encryption and decryption of binary data using various algorithms | 47 |
 bcgit/bc-csharp | A .NET implementation of cryptographic algorithms and protocols. | 1,683 |
 tf-encrypted/moose | A secure distributed dataflow framework for encrypted machine learning and data processing | 59 |
| cryptobiu/libscapi | Provides high-performance protocols and cryptographic infrastructure for secure multiparty computation | 182 |
 aarhuscrypto/duplo | A cryptographic protocol implementation for secure computation | 22 |
 microsoft/symcrypt | A cryptographic library used by Microsoft products to implement secure symmetric and asymmetric algorithms. | 722 |
 b-con/crypto-algorithms | A collection of basic cryptographic algorithms implemented from scratch in C. | 1,847 |
 unboundsecurity/blockchain-crypto-mpc | Protects cryptographic keys and seed secrets using secure multiparty computation | 459 |
 bcrypt-ruby/bcrypt-ruby | A Ruby binding for the OpenBSD bcrypt() password hashing algorithm | 1,933 |
| aarhuscrypto/tinylego | An implementation of a cryptographic protocol for secure two-party computation | 16 |
 shreya-28/secure-ml | Secure Linear Regression in the Semi-Honest Two-Party Setting. | 37 |
 facebookresearch/crypten | A framework for applying secure computing techniques to machine learning models without modifying the underlying frameworks. | 1,554 |