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arXiv · 2407.18995

SWIFT: Semantic Watermarking for Image Forgery Thwarting

Gautier Evennou·Vivien Chappelier·Ewa Kijak·Teddy Furon
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Abstract

This paper proposes a novel approach towards image authentication and tampering detection by using watermarking as a communication channel for semantic information. We modify the HiDDeN deep-learning watermarking architecture to embed and extract high-dimensional real vectors representing image captions. Our method improves significantly robustness on both malign and benign edits. We also introduce a local confidence metric correlated with Message Recovery Rate, enhancing the method's practical applicability. This approach bridges the gap between traditional watermarking and passive forensic methods, offering a robust solution for image integrity verification.

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BibTeXRIS

Gautier Evennou, Vivien Chappelier, Ewa Kijak, Teddy Furon. 2024-07-26. SWIFT: Semantic Watermarking for Image Forgery Thwarting. https://arxiv.org/abs/2407.18995

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