Invisible watermarking is a critical technology for embedding hidden information within various media types, including audio, images, video, and text, without degrading their quality. The provided post highlights research on this topic, particularly referencing frameworks like Meta Seal by Facebook Research and InvisMark, which focuses on AI-generated content. These methods aim to ensure robustness against attacks while maintaining invisibility. The search results emphasize the importance of unlearned diffusion models, autoencoder-based approaches, and provenance tracking in modern watermarking techniques.
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