Barely Significant
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Deep learning for steganalysis: evaluating model robustness against image transformations.

Front Artif Intell · 2025 · PMC11979228 · PMID 40206705

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quite significantno p-value reported
At the same time, for Xu-Net and Yedroudj-Net, the performance decrease is quite significant-especially when noise and compression are applied. 4.3 Comparative analysis of transformations The comparative study evaluated transformations based on accuracy measurement because this metric effectively determines model stability (Himthani et al., 2022 ).

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