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Unveiling the evolving landscape of image steganalysis: A comprehensive survey, challenges, and emerging trends
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DOI：10.1016/j.compeleceng.2026.111347.png)
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Abstract
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• Comprehensive survey on the evolution of image steganalysis approaches. • Systematic review of classical machine learning and deep learning approaches. • In-depth analysis and discussion of the commonly used datasets. • Identifies key challenges like generalization, robustness and explainability. • Future research directions highlight robust frameworks and multi-modal approaches.
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