Robust Provably Secure Image Steganography via Latent Iterative Optimization
We propose a robust and provably secure image steganography framework based on latent-space iterative optimization. Within this framework, the receiver treats the transmitted image as a fixed reference and iteratively refines a latent variable to minimize the reconstruction error, thereby improving message extraction accuracy. Unlike prior methods, our approach preserves the provable security of the embedding while markedly enhancing robustness under various compression and image processing scenarios. On benchmark datasets, the experimental results demonstrate that the proposed iterative optimization not only improves robustness against image compression while preserving provable security...
| Authors | Yanan Li, Zixuan Wang, Qiyang Xiao et al. |
|---|---|
| Primary category | cs.CR |
| Published | 10 March 2026 |
| Last updated at source | 10 March 2026 |
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