Watermarking the outputs of generative models is a crucial technique for tracing copyright
and preventing potential harm from AI-generated content. In this paper, we introduce a novel …

Abstract We revisit Tree-Ring Watermarking, a recent diffusion model watermarking method
that demonstrates great robustness to various attacks. We conduct an in-depth study on it …

Data hiding such as steganography and invisible watermarking has important applications
in copyright protection, privacy-preserved communication and content provenance. Existing …

Abstract Neural Radiance Fields (NeRF) have the potential to be a major representation of
media. Since training a NeRF has never been an easy task, the protection of its model …

Watermarking is the process of embedding information into an image that can survive under
distortions, while requiring the encoded image to have little or no perceptual difference with …

Video steganography is the art of unobtrusively concealing secret data in a cover video and
then recovering the secret data through a decoding protocol at the receiver end. Although …

With generative models producing high quality images that are indistinguishable from real
ones, there is growing concern regarding the malicious usage of AI-generated images …

The advancement of secure communication and identity verification fields has significantly
increased through the use of deep learning techniques for data hiding. By embedding …

The digital revolution places great emphasis on digital media watermarking due to the
increased vulnerability of multimedia content to unauthorized alterations. Recently, in the …