From the 1 of 4 linked papers with an AI index.
4 papers
CASIAL: Geometric Distortion Robust Image Watermarking
Yupeng Qiu, Han Fang, Ee-Chien Chang
The paper introduces CASIAL, a deep learning framework for image watermarking that spreads watermark bits across the whole image and uses a geometry‑invariant alignment module to s…
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…
Proof-of-Authorship for Diffusion-based AI Generated Content
De Zhang Lee, Han Fang, Ee-Chien Chang
Recent advancements in AI-generated content (AIGC) have introduced new challenges in intellectual property protection and the authentication of generated objects. We focus on scena…
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…