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.

翻译：本文提出了一种新颖的图像认证与篡改检测方法，通过将水印作为语义信息的通信信道来实现。我们改进了HiDDeN深度学习水印架构，以嵌入和提取表示图像描述的高维实向量。该方法在恶意编辑和良性编辑上的鲁棒性均得到显著提升。我们还引入了与信息恢复率相关的局部置信度度量，增强了该方法的实际适用性。该方法弥合了传统水印技术与被动取证方法之间的鸿沟，为图像完整性验证提供了一个鲁棒的解决方案。