Semantic Watermark

Semantic watermarking embeds information, such as image captions or semantic embeddings, directly into the meaning or structure of data (images or text) rather than its raw format, making it robust against various attacks like paraphrasing or image manipulation. Current research focuses on developing robust algorithms, often leveraging deep learning architectures and techniques like invertible neural networks or clustering methods, to improve the reliability of watermark detection while minimizing impact on data quality. This field is crucial for ensuring data authenticity and integrity in various applications, including image forensics, protecting against unauthorized data exploitation in machine learning, and detecting AI-generated content.