2.2.360
multimodal-art-projection/YuE2.2.360Sep 9, 2025by github-actions[bot]
Upgrading?
Release notes summary
This release focuses on data privacy and recognition accuracy, adding support for Korean Resident Registration Numbers, Azure Health Data Services integration, and comprehensive input validation.
Key Highlights
- Korean Resident Registration Number (RRN) recognizer with checksum validation
- Azure Health Data Services (AHDS) de-identification service integration
- Comprehensive input validation methods for NlpEngineProvider
- Refactored recognizers folder structure for better organization
New Features
- Korean Resident Registration Number (RRN) recognizer with checksum validation
- Azure Health Data Services (AHDS) Surrogate anonymization operator
- Comprehensive input validation methods for NlpEngineProvider
- GitHub Actions CI & release workflows with multi-platform Docker image support
- OIDC trusted publishing for PyPI releases
- Comprehensive YAML and Python examples for context-aware recognizers documentation
Full Release Notes
### Analyzer #### Added - Korean Resident Registration Number (RRN) recognizer with checksum validation for numbers issued prior to October 2020 (#1675) (Thanks @siwoo-jung) - Azure Health Data Services (AHDS) de-identification service integration as a remote recognizer with Entra ID authentication (#1624) (Thanks @rishasurana) - Comprehensive input validation methods for NlpEngineProvider to ensure valid arguments for engines, configuration, and file paths (#1653) (Thanks @siwoo-jung) #### Changed - Updated Indian Aadhaar recognizer to support contextual delimiters (-, :, space) for improved detection accuracy (#1677) (Thanks @K3y5tr0ke) - Fixed Italian Driver License recognizer regex to include missing characters per government requirements, excluding only A, O, Q, I (#1651) (Thanks @K3y5tr0ke) - Refactored recognizers folder structure for better organization and maintainability (#1670) (Thanks @omri374) ### Anonymizer #### Added - Azure Health Data Services (AHDS) Surrogate anonymization operator with medical domain expertise for realistic PHI surrogate generation (#1672) (Thanks @rishasurana) #### Changed - Fixed code indentation issues in encrypt.py for better code quality (#1660) (Thanks @aliyss) ### General #### Added - Comprehensive GitHub Copilot instructions with development guidelines, build processes, and e2e testing procedures (#1693) (Thanks @Copilot) - New GitHub Actions CI & release workflows with multi-platform Docker image support for AMD64 and ARM64 architectures (#1697) (Thanks @tamirkamara) - Dual-path CI workflow to fix GitHub Actions failures for external contributors by auto-detecting fork vs. main repository PRs (#1708) (Thanks @Copilot) - OIDC trusted publishing for PyPI releases eliminating manual API token management and enhancing security (#1702) (Thanks @Copilot) - Comprehensive YAML and Python examples for context-aware recognizers documentation (#1710) (Thanks @MRADULTRIPATHI) #### Changed - Updated actions/checkout from v4 to v5 to support Node.js 24 runtime (#1699) (Thanks @dependabot) - Fixed PR template to use proper GitHub issue linking syntax for automatic issue association and closing (#1701) (Thanks @Copilot) - Updated LiteLLM documentation with detailed guide links for better integration guidance (#1698) (Thanks @BhargavDT) - Fixed broken links in CONTRIBUTING.md and developing recognizers documentation after recognizers refactoring (#1674) (Thanks @siwoo-jung) - Fixed OpenSSF badge embedding in README.MD for proper display (#1673) (Thanks @SharonHart) - Removed Terrascan from Microsoft Defender for DevOps workflow to eliminate false positives on non-IAC repository (#1691) (Thanks @Copilot) #### Security - Updated Streamlit and PyTorch dependency versions to fix CVE vulnerabilities (#1685) (Thanks @SharonHart) - Updated requests library to mitigate security vulnerability GHSA-9hjg-9r4m-mvj7 (#1683) (Thanks @SharonHart) - Locked pandas dependency in Streamlit to prevent version conflicts (#1689) (Thanks @SharonHart)
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