Distortion Blind Deep Watermarking - Google Research In this paper, we propose a new framework for distortion-agnostic watermarking, where the image distortion is not explicitly modeled during training Instead, the robustness of our system comes from two sources: adversarial training and channel coding
Robust blind image watermarking based on interest points We propose a robust blind image watermarking algorithm that combines stable interest points and deep learning networks to improve the robustness of the watermarking algorithm further
Blind Deep-Learning-Based Image Watermarking Robust Against Geometric . . . A first network aims to embeds a watermark imperceptibly into the image, and second network aims to accurately decode the embedded watermark The decoding does not require the original content, making it a blind watermarking technique
WatermarkAttacker - GitHub The attack method effectively removes invisible watermarks Our attack first maps the watermarked image to its embedding, which is another representation of the image
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