Towards Robust Image-in-Audio Deep Steganography. (arXiv:2303.05007v1 [cs.CR])

The field of steganography has experienced a surge of interest due to the
recent advancements in AI-powered techniques, particularly in the context of
multimodal setups that enable the concealment of signals within signals of a
different nature. The primary objectives of all steganographic methods are to
achieve perceptual transparency, robustness, and large embedding capacity -
which often present conflicting goals that classical methods have struggled to
reconcile. This paper extends and enhances an existing image-in-audio deep
steganography method by focusing …

ai-powered audio concealment context enable goals interest large nature objectives robustness signals steganography techniques transparency