2026
ASIR: Steganography for Diffusion Models via Antipodal Sampling and Iterative Recovery
ICML 2026poster
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…