3 accepted papers
Messages embedded in diffusion generation noise suffer from severe attenuation due to denoising and VAE decoding, creating a persistent capacity–robustness trade-off. Identifying that extraction accuracy strictly correlates with the distance between candidate hypothesis images, we propose ASIR, a tr…
With the increasing commercialization of the latent diffusion-based text-to-audio generation, model attribution has become a critical challenge. Embedding watermarks in generated audio is an effective way to distinguish synthetic from natural audio. However, existing watermarking methods often suff
Due to the steganography of hiding images requires that the secret message be a full-size image, to improve the universality of steganography and decoding accuracy than hiding images, this paper presents image steganography with the deep orthogonal fusion of multi-scale channel attention (SOFMC). To…