Zobrazeno 1 - 10
of 9 124
pro vyhledávání: '"Robust watermarking"'
Arbitrary Style Transfer (AST) achieves the rendering of real natural images into the painting styles of arbitrary art style images, promoting art communication. However, misuse of unauthorized art style images for AST may infringe on artists' copyri
Externí odkaz:
http://arxiv.org/abs/2412.07129
As the quality of image generators continues to improve, deepfakes become a topic of considerable societal debate. Image watermarking allows responsible model owners to detect and label their AI-generated content, which can mitigate the harm. Yet, cu
Externí odkaz:
http://arxiv.org/abs/2412.04653
3D Gaussian Splatting (3DGS) has recently created impressive assets for various applications. However, the copyright of these assets is not well protected as existing watermarking methods are not suited for 3DGS considering security, capacity, and in
Externí odkaz:
http://arxiv.org/abs/2411.19895
Autor:
Xu, Rui, Hu, Mengya, Lei, Deren, Li, Yaxi, Lowe, David, Gorevski, Alex, Wang, Mingyu, Ching, Emily, Deng, Alex
The proliferation of AI-generated images has intensified the need for robust content authentication methods. We present InvisMark, a novel watermarking technique designed for high-resolution AI-generated images. Our approach leverages advanced neural
Externí odkaz:
http://arxiv.org/abs/2411.07795
Current image watermarking methods are vulnerable to advanced image editing techniques enabled by large-scale text-to-image models. These models can distort embedded watermarks during editing, posing significant challenges to copyright protection. In
Externí odkaz:
http://arxiv.org/abs/2410.18775
Federated graph learning (FedGL) is an emerging learning paradigm to collaboratively train graph data from various clients. However, during the development and deployment of FedGL models, they are susceptible to illegal copying and model theft. Backd
Externí odkaz:
http://arxiv.org/abs/2410.17533
Autor:
Chen, Weitong, Li, Yuheng
In recent years, digital watermarking techniques based on deep learning have been widely studied. To achieve both imperceptibility and robustness of image watermarks, most current methods employ convolutional neural networks to build robust watermark
Externí odkaz:
http://arxiv.org/abs/2409.14829
As 3D Gaussian Splatting (3D-GS) gains significant attention and its commercial usage increases, the need for watermarking technologies to prevent unauthorized use of the 3D-GS models and rendered images has become increasingly important. In this pap
Externí odkaz:
http://arxiv.org/abs/2409.13222
Physical design watermarking on contemporary integrated circuit (IC) layout encodes signatures without considering the dense connections and design constraints, which could lead to performance degradation on the watermarked products. This paper prese
Externí odkaz:
http://arxiv.org/abs/2404.18407
Digital watermarking is the process of embedding secret information by altering images in an undetectable way to the human eye. To increase the robustness of the model, many deep learning-based watermarking methods use the encoder-noise-decoder archi
Externí odkaz:
http://arxiv.org/abs/2405.05170