Deep Watermarking

Deep watermarking embeds imperceptible information, such as copyright details or authenticity markers, into digital content (images, audio, video, even neural networks) to protect intellectual property and verify provenance. Current research emphasizes robust watermarking techniques using deep learning architectures, including encoder-decoder models and invertible neural networks, focusing on improving resilience against various attacks like image manipulation, compression, and adversarial examples. This field is crucial for addressing the challenges posed by AI-generated content and the increasing need for secure digital asset management, impacting both copyright protection and multimedia forensics.