4 Repos
Management of permissions and approvals for multi-party research on private distributed datasets.
Distinct from Collaborative Data Platforms: Focuses on the administrative and security-gated collaboration between researchers and data owners.
Explore 4 awesome GitHub repositories matching security & cryptography · Secure Data Collaboration. Refine with filters or upvote what's useful.
PySyft is a privacy-preserving machine learning framework and remote computation engine. It functions as a decentralized data analysis orchestrator that allows for the execution of data science workflows on remote servers without requiring the transfer of raw private data from the host device. The platform provides a secure collaboration environment where data owners manage permissions and authorize specific collaborators to run computations. It differentiates its workflow by utilizing mock data for local development and validation before submitting final analysis jobs to private remote serve
Manages permissions and approvals for multiple researchers to work on private datasets hosted by different owners.
Boto3 is the AWS SDK for Python, providing a programmatic interface for managing and automating AWS cloud infrastructure and services. It serves as a cloud management API client and resource manager for provisioning, configuring, and scaling virtual servers, databases, and storage. The library enables the implementation of infrastructure-as-code through declarative templates and scripts, allowing for the deployment of identical resource stacks across multiple accounts and geographic regions. It also provides a framework for coordinating distributed workflows, serverless functions, and contain
Creates secure workspaces for joining datasets to gain insights without exchanging raw data.
git-crypt is a transparent cryptography layer and secret manager for Git repositories. It encrypts specific files so they remain as ciphertext on remote servers while appearing as plaintext in local directories. The tool uses Git attributes to define the scope of files and directories targeted for encryption. It supports both symmetric secret key encryption for shared access and asymmetric public key encryption to control decryption permissions among multiple collaborators. The system automates the encryption and decryption process through hook-based filters that trigger during commit and ch
Enables secure collaboration by sharing encrypted files via public key infrastructure to control decryption access.
FATE is an open-source federated learning platform that enables multiple organizations to collaboratively train machine learning models without exposing raw data to any party. It provides a complete framework for private data collaboration, allowing participants to jointly compute on sensitive information while maintaining data privacy and security guarantees through secure multi-party computation protocols. The platform distinguishes itself through its comprehensive infrastructure management capabilities, supporting automated deployment of multi-party clusters using Ansible-driven provisioni
Enabling multiple parties to jointly compute on sensitive data while maintaining data privacy and security guarantees.