Python implementation of C2PA: Coalition for Content Provenance and Authenticity.
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Updated
Jun 22, 2022 - Python
Python implementation of C2PA: Coalition for Content Provenance and Authenticity.
Pure TypeScript implementation of C2PA manifest reading, validation, and creation
An ethical dataset supporting research in digital content provenance and authenticity, compliant with C2PA standards. Licensed for non-commercial use under CC BY-NC 4.0.
An innovative concept to safeguard visual media against generative AI. This repository is the main hub for the 'Adaptive Spider Web' project, detailing its layered defense, dynamic noise structure, and the verification app concept
Combat fake news with cryptographic image verification. Origin Lens analyzes C2PA Content Credentials and EXIF metadata to detect AI-generated content, verify digital signatures, and reveal complete edit history. Privacy-first open source iOS app with on-device verification.
Sebuah konsep inovatif untuk menjaga media visual dari penyalahgunaan AI generatif. Repositori ini adalah hub utama untuk proyek 'Adaptive Spider Web', yang merinci pertahanan berlapis, struktur noise dinamis, dan konsep aplikasi verifikasinya
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