mithril-security / blindai
Confidential AI deployment with secure enclaves
☆502Updated 8 months ago
Related projects ⓘ
Alternatives and complementary repositories for blindai
- A simple framework for privacy-friendly data science collaboration☆170Updated last year
- Blindai Preview (no longer used, merged with the main repo blindai)☆24Updated last year
- The core library of differential privacy algorithms powering the OpenDP Project.☆329Updated this week
- BlindBox is a tool to isolate and deploy applications inside Trusted Execution Environments for privacy-by-design apps☆57Updated last year
- PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such a…☆276Updated last month
- A collection of algorithms that can do join between two parties while preserving the privacy of keys on which the join happens☆203Updated last month
- Federated Learning Utilities and Tools for Experimentation☆185Updated 10 months ago
- FBPCS (Facebook Private Computation Solutions) leverages secure multi-party computation (MPC) to output aggregated data without making u…☆147Updated this week
- Differential privacy validator and runtime☆289Updated 2 years ago
- Python language bindings for smartnoise-core.☆75Updated last year
- A Platform for Secure Analytics and Machine Learning☆299Updated last year
- tf-trusted allows you to run TensorFlow models in secure enclaves☆87Updated 4 years ago
- PriMIA: Privacy-preserving Medical Image Analysis☆129Updated last year
- Tools and service for differentially private processing of tabular and relational data☆254Updated 3 months ago
- Private Set Intersection Cardinality protocol based on ECDH and Bloom Filters☆137Updated 2 weeks ago
- A SMPC companion library for Syft☆100Updated last week
- SOON TO BE DEPRECATED - The TensorFlow bindings for PySyft☆57Updated 4 years ago
- Function Secret Sharing library for Python and Rust with hardware acceleration☆54Updated last year
- User-friendly secure computation engine based on secure multi-party computation☆374Updated last year
- Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditi…☆1,022Updated this week
- A Rust library for lattice-based additive homomorphic encryption.☆408Updated last year
- An Open Framework for Federated Learning.☆733Updated this week
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆508Updated 2 months ago
- Bridge between TensorFlow and the Microsoft SEAL homomorphic encryption library☆95Updated 4 years ago
- ☆136Updated 9 months ago
- Xaynet represents an agnostic Federated Machine Learning framework to build privacy-preserving AI applications.☆200Updated 2 years ago
- Concrete: TFHE Compiler that converts python programs into FHE equivalent☆1,253Updated this week
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆607Updated this week