Stable Messenger: Steganography for Message-Concealed Image Generation
Quang Nguyen Truong Vu Cuong Pham Anh Tran Khoi Nguyen
In the ever-expanding digital landscape, safeguarding sensitive information
remains paramount. This paper delves deep into digital protection, specifically
focusing on steganography. While prior research predominantly fixated on
individual bit decoding, we address this limitation by introducing ``message
accuracy'', a novel metric evaluating the entirety of decoded messages for a
more holistic evaluation. In addition, we propose an adaptive universal loss
tailored to enhance message accuracy, named Log-Sum-Exponential (LSE) loss,
thereby significantly improving the message accuracy of recent approaches.
Furthermore, we also introduce a new latent-aware encoding technique in our
framework named \Approach, harnessing pretrained Stable Diffusion for advanced
steganographic image generation, giving rise to a better trade-off between
image quality and message recovery. Throughout experimental results, we have
demonstrated the superior performance of the new LSE loss and latent-aware
encoding technique. This comprehensive approach marks a significant step in
evolving evaluation metrics, refining loss functions, and innovating image
concealment techniques, aiming for more robust and dependable information
protection.