SWIFT: Semantic Watermarking for Image Forgery Thwarting
Gautier Evennou, Vivien Chappelier, Ewa Kijak, Teddy Furon
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- github.com/gautierevn/swift_watermarkingOfficialpytorch★ 2
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.