mc2-project / mc2
A Platform for Secure Analytics and Machine Learning
☆299Updated last year
Related projects ⓘ
Alternatives and complementary repositories for mc2
- Secure collaborative training and inference for XGBoost.☆105Updated 2 years ago
- An encrypted data analytics platform☆180Updated last year
- tf-trusted allows you to run TensorFlow models in secure enclaves☆87Updated 4 years ago
- PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such a…☆275Updated 3 weeks ago
- Federated gradient boosted decision tree learning☆68Updated last year
- Differential privacy validator and runtime☆290Updated 2 years ago
- A SMPC companion library for Syft☆99Updated this week
- Privacy-preserving XGBoost Inference☆48Updated last year
- Python language bindings for smartnoise-core.☆75Updated last year
- Tools and service for differentially private processing of tabular and relational data☆253Updated 3 months ago
- Federated Learning Utilities and Tools for Experimentation☆185Updated 9 months ago
- A curated list of resources for privacy-preserving machine learning☆147Updated 3 years ago
- ☆53Updated 9 months ago
- A Secure Multiparty Computation (MPC) protocol for computing linear regression on vertically distributed datasets.☆32Updated 5 years ago
- Implementation of protocols in SecureNN.☆123Updated 2 years ago
- Repository for the SCALE-MAMBA MPC system☆248Updated last year
- Bridge between TensorFlow and the Microsoft SEAL homomorphic encryption library☆95Updated 4 years ago
- nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph☆172Updated last year
- Query compiler for secure multi-party computation.☆98Updated 4 years ago
- Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware☆161Updated last year
- ☆400Updated 4 months ago
- Privacy -preserving Neural Networks☆74Updated 5 years ago
- The core library of differential privacy algorithms powering the OpenDP Project.☆327Updated this week
- nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph☆221Updated last year
- Intel Paillier Cryptosystem Library is an open-source library which provides accelerated performance of a partial homomorphic encryption …☆56Updated 4 months ago
- Private Set Intersection Cardinality protocol based on ECDH and Bloom Filters☆134Updated this week
- Code samples and documentation for SmartNoise differential privacy tools☆132Updated 2 years ago
- A library for federated learning (a distributed machine learning process) in an enterprise environment.☆499Updated last year
- (Inactive, see readme) Multiparty computation with SPDZ, MASCOT, and Overdrive offline phases☆215Updated 5 years ago