moose
Data processor
A secure distributed dataflow framework for encrypted machine learning and data processing
Secure distributed dataflow framework for encrypted machine learning and data processing
59 stars
12 watching
16 forks
Language: Rust
last commit: over 2 years agocryptographydata-sciencedistributed-computingmachine-learningprivacysecure-computation
Related projects:
| Repository | Description | Stars |
|---|---|---|
| tf-encrypted/tf-encrypted | Enables secure machine learning computations in TensorFlow without requiring expertise in cryptography or distributed systems. | 1,213 |
 mortendahl/tf-encrypted | A framework for training and prediction on encrypted data using secure multi-party computation and homomorphic encryption in TensorFlow. | 3 |
 eth-sri/bayes-framework-leakage | Develops and evaluates a framework for detecting attacks on federated learning systems | 11 |
 encryptogroup/aby | A framework for efficient mixed-protocol secure two-party computation | 465 |
 adampetcher/fcf | A framework for machine-checked proofs of cryptography in the computational model. | 48 |
 ai-secure/crfl | This project presents a framework for robust federated learning against backdoor attacks. | 71 |
 mcginty/snow | A Rust implementation of a secure communication framework | 906 |
 git-disl/lockdown | A backdoor defense system for federated learning, designed to protect against data poisoning attacks by isolating subspace training and aggregating models with robust consensus fusion. | 18 |
 cryptobiu/semi-honest-bmr | A C++ implementation of the semi-honest secure BMR protocol for multi-party computation. | 5 |
| ai-secure/fedgame | An implementation of a game-theoretic defense against backdoor attacks in federated learning. | 6 |
 facebookresearch/crypten | A framework for applying secure computing techniques to machine learning models without modifying the underlying frameworks. | 1,554 |
 zama-ai/tfhe-rs | An implementation of homomorphic encryption schemes for secure numerical computations over encrypted data | 980 |
 alichtman/deadbolt | A file encryption tool that uses AES-256 to protect files and allows easy decryption with a password | 344 |
 fff-rs/juice | A machine learning framework designed to be extensible and agnostic, with support for multiple backends and linear algebra libraries. | 1,114 |
 tu-berlin-snet/tctp-rack | Middleware for encrypting HTTP bodies using end-to-end encryption | 0 |