Advanced AI-powered deepfake detection and media authenticity verification
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Sep 15, 2025 - TypeScript
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media-authenticity
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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
Real-time deepfake detection and explanation pipeline using pretrained visual models (e.g., FakeShield) and vision-language LLMs — optimized for low-latency inference.
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Feb 1, 2026 - Python
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