Review
Open access
Sep 2026
Deep Learning for Image Steganalysis: A Structured Comparative Review of Dataset, Domain, and Robustness Coverage
Closing structural gaps in deep learning steganalysis requires a unified architecture combining multi-source training, dual-domain coverage, and pixel-level adversarial testing, representing an essential open challenge for practical deployment.
Asma'u Shehu, Prema A. Kirubakaran, Bilkisu L. Muhammad-Bello et al.
· FUDMA Journal of Sciences · 0 citations