SWIFT: Semantic Watermarking for Image Forgery Thwarting
Fuente:
arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866911204639768576 |
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| author | Evennou, Gautier Chappelier, Vivien Kijak, Ewa Furon, Teddy |
| author_facet | Evennou, Gautier Chappelier, Vivien Kijak, Ewa Furon, Teddy |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_18995 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | SWIFT: Semantic Watermarking for Image Forgery Thwarting Evennou, Gautier Chappelier, Vivien Kijak, Ewa Furon, Teddy Cryptography and Security Artificial Intelligence Computer Vision and Pattern Recognition Multimedia 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. |
| title | SWIFT: Semantic Watermarking for Image Forgery Thwarting |
| topic | Cryptography and Security Artificial Intelligence Computer Vision and Pattern Recognition Multimedia |
| url | https://arxiv.org/abs/2407.18995 |