4 papers · 1 filter
CASIAL: Geometric Distortion Robust Image Watermarking
Yupeng Qiu, Han Fang, Ee-Chien Chang
Deep learning-based watermarking has shown strong robustness against non-geometric distortions, yet its performance under geometric transformations remains limited. Such transforma…
ResGuard: Enhancing Robustness Against Known Original Attacks in Deep Watermarking
Hanyi Wang, Han Fang, Yupeng Qiu +2
Deep learning-based image watermarking commonly adopts an "Encoder-Noise Layer-Decoder" (END) architecture to improve robustness against random channel distortions, yet it often ov…
END: Robust Dual-Decoder Watermarking Framework Against Non-Differentiable Distortions
Nan Sun, Han Fang, Yuxing Lu +2
DNN-based watermarking methods have rapidly advanced, with the ``Encoder-Noise Layer-Decoder'' (END) framework being the most widely used. To ensure end-to-end training, the noise…
SSyncOA: Self-synchronizing Object-aligned Watermarking to Resist Cropping-paste Attacks
Chengxin Zhao, Hefei Ling, Sijing Xie +3
Modern image processing tools have made it easy for attackers to crop the region or object of interest in images and paste it into other images. The challenge this cropping-paste a…