Python implementation of C2PA: Coalition for Content Provenance and Authenticity.
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Jun 22, 2022 - Python
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content-provenance
Here are 7 public repositories matching this topic...
Pure TypeScript implementation of C2PA manifest reading, validation, and creation
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Feb 2, 2026 - TypeScript
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.
machine-learning data-protection privacy-tools c2pa content-provenance ethics-in-ai digital-authenticity
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Mar 24, 2025 - Python
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
cybersecurity information-security ai-safety digital-watermarking responsible-ai deepfake-detection media-literacy content-provenance generative-ai conceptual-framework proactive-defense
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Jul 13, 2025
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. (arXiv:2602.03423)
provenance ios-app flutter fake-news digital-forensics image-forensics exif-metadata misinformation trust-and-safety privacy-first image-verification deepfake-detection metadata-analysis c2pa content-provenance content-authenticity ai-detection content-credentials media-verification cryptographic-verification
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Feb 4, 2026 - Dart
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
cybersecurity information-security ai-safety digital-watermarking responsible-ai deepfake-detection media-literacy content-provenance generative-ai conceptual-framework proactive-defense
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Jun 16, 2025
CPP (Capture Provenance Profile) - Open specification for cryptographic proof of media capture events. Features RFC 6962 Merkle trees for deletion detection, RFC 3161 timestamping, and optional ACE (Attested Capture Extension) for zero-knowledge biometric attestation. Part of the VAP Framework.
merkle-tree rfc3161 vap open-standard privacy-by-design digital-evidence content-provenance cryptographic-proof media-authenticity veritaschain capture-verification c2pa-alternative timestamp-authority deletion-detection photo-verification vap-framework
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Jan 30, 2026 - Python
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