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SWIFT: Semantic Watermarking for Image Forgery Thwarting
- Publication Year :
- 2024
-
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.<br />Comment: Code will be released
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.2407.18995
- Document Type :
- Working Paper