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Table 6 Robustness(%) with respect to the different CNN model in Caltech-101

From: Coverless image steganography based on DenseNet feature mapping

Attack Parameter InceptionResNetV2 ResNet50 InceptionV3 DenseNet121
Compression Q(10) 32.10 27.80 34.44 80.59
Gauss noise σ(0.001) 57.17 47.32 55.90 92.10
Gauss filtering (3×3) 71.41 62.83 67.02 95.32
Scaling 3 95.02 93.85 91.61 99.12
C-H-E 29.37 21.56 32.88 81.27
Gramma 0.6 55.61 48.10 53.27 89.85
Centered cropping 20% 5.56 15.90 15.71 72.88
Edge cropping 20% 41.95 23.90 39.41 76.98
Rotation 20 12.10 6.24 16.78 71.02
Translation (45,30) 23.61 21.66 24.59 75.02