This repository is a curated collection of resources for privacy and compliance in China, targeting engineers, researchers, and legal professionals. It aims to consolidate knowledge on privacy regulations, technologies, companies, and best practices, providing a comprehensive reference for navigating the evolving landscape of data protection.

How It Works

The repository is structured into two main categories: "Domain Knowledge" and "Technical Tools." Domain Knowledge covers legal frameworks (global and Chinese), important organizations, whitepapers, industry players, foundational concepts, and news. Technical Tools lists new privacy technologies, relevant software, books, and practical implementation examples. The content is meticulously organized with links to official documents, articles, and resources, facilitating in-depth research.

Quick Start & Requirements

This is a curated list of resources, not a software project. No installation or execution is required. Access is via web browser to the GitHub repository.

Highlighted Details

• Extensive coverage of global and Chinese privacy regulations, including GDPR, CCPA, PIPL, DSL, and CSLL.
• Detailed sections on privacy-enhancing technologies like privacy computing (MPC, FL, TEE, HE, ZKP) and data anonymization.
• A comprehensive directory of privacy-focused startups, major tech company privacy centers, and relevant industry organizations.
• Curated lists of whitepapers, books, and public accounts offering insights into privacy governance and technical implementation.

Maintenance & Community

The repository is marked as "[WIP]" (Work In Progress), indicating ongoing development and updates. It is maintained by international-explore. Community interaction and contributions are encouraged through GitHub.

Licensing & Compatibility

The repository itself is hosted on GitHub under a permissive license, allowing for free access and use of the curated information. Specific licenses for linked external resources may vary.

Limitations & Caveats

The "[WIP]" status suggests that the content may be incomplete or subject to change. Some personal opinions are noted in the whitepaper ratings, which may influence interpretation.