Hardware-backed image authenticity and watermarking system for secure, compression-resilient provenance.
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Updated
Mar 14, 2026 - Python
Hardware-backed image authenticity and watermarking system for secure, compression-resilient provenance.
Deep learning framework for image authenticity prediction with three core experiments: (1) CNN architecture comparison & network pruning analysis, (2) Model explainability comparison (GradCAM vs Multiscale Pixel Masking), (3) Ensemble learning strategies for authenticity detection.
Cryptographic image authenticity verification — prove edits are localized without exposing the original. Fully client-side.
Cryptographic image integrity & authenticity verification tool. Detects any image modification via pixel-level validation.
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