# Edge-Aware Dual-Task Image Watermarking Against Social Network Noise
## 4 Experiments
### Robustness Analysis
\begin{table}
\begin{tabular}{c c c c c c c c c c c} \hline \hline \multirow{2}{*}{**Methods**} & \multicolumn{2}{c}{**Our**} & \multirow{2}{*}{**FlexMark**} & \multirow{2}{*}{**ARWGAN**} & \multirow{2}{*}{**De-END**} & \multirow{2}{*}{**SSLW**} & \multirow{2}{*}{**MBRS**} & \multirow{2}{*}{**StegaStamp**} & \multirow{2}{*}{**IGA**} & \multirow{2}{*}{**HiDDeN**} \\  & & **Model** & & & & & & & & \\ \hline \multirow{4}{*}{**C**} & 10\% & **99.97** & 98.82 & 99.04 & 99.85 & 86.95 & 99.92 & 97.73 & 89.17 & 88.75 \\  & 30\% & **99.95** & 97.98 & 98.72 & 99.51 & 83.65 & 97.87 & 96.42 & 84.72 & 83.21 \\  & 50\% & **99.89** & 95.70 & 97.49 & 98.94 & 80.09 & 95.91 & 95.81 & 81.62 & 79.34 \\  & Avg & **99.94** & 97.50 & 98.42 & 99.43 & 83.56 & 97.90 & 96.65 & 85.17 & 83.77 \\ \hline \multirow{4}{*}{**C**} & 10\% & 99.96 & 91.21 & **99.99** & 99.71 & 99.54 & 99.89 & 98.01 & 89.60 & 88.59 \\  & 30\% & 99.90 & 90.95 & **99.92** & 99.23 & 87.83 & 99.75 & 97.44 & 86.63 & 76.15 \\  & 50\% & 99.75 & 88.10 & **99.78** & 98.92 & 98.78 & 99.62 & 96.92 & 79.29 & 74.10 \\  & Avg & 99.87 & 90.09 & **99.90** & 99.29 & 95.38 & 99.75 & 97.46 & 85.17 & 79.61 \\ \hline \multirow{4}{*}{**C**} & 90\% & **99.97** & 98.76 & 96.26 & 99.05 & 93.54 & 98.95 & 99.03 & 87.46 & 85.31 \\  & 70\% & **99.90** & 97.12 & 95.04 & 96.92 & 88.47 & 98.41 & 98.49 & 83.26 & 82.15 \\  & 50\% & **99.86** & 95.00 & 92.83 & 95.21 & 84.89 & 97.72 & 98.31 & 80.75 & 80.09 \\  & Avg & **99.91** & 96.96 & 94.71 & 97.06 & 88.97 & 98.36 & 98.61 & 83.82 & 82.52 \\ \hline \multirow{4}{*}{**C**} & 70 & 99.61 & 89.09 & 97.87 & **99.68** & 98.71 & 95.23 & 98.39 & 89.42 & 85.13 \\  & 60 & 99.58 & 88.23 & 95.96 & **99.61** & 97.04 & 93.98 & 97.91 & 86.67 & 83.62 \\  & 50 & **99.51** & 86.99 & 95.37 & 99.40 & 96.60 & 90.55 & 96.32 & 85.20 & 81.29 \\  & Avg & **99.97** & 88.10 & 96.40 & 99.56 & 97.45 & 93.25 & 97.54 & 87.10 & 83.35 \\ \hline \multirow{4}{*}{**C**} & 10\% & **99.93** & 97.81 & 97.49 & 98.13 & 99.13 & 96.81 & 97.91 & 89.58 & 85.75 \\  & 20\% & **99.90** & 95.04 & 96.67 & 96.52 & 98.01 & 94.14 & 96.25 & 88.00 & 80.82 \\  & 30\% & **99.89** & 92.50 & 95.78 & 95.32 & 97.55 & 89.12 & 95.22 & 85.73 & 73.45 \\  & Avg & **99.91** & 95.12 & 96.65 & 96.66 & 98.23 & 93.36 & 96.46 & 87.77 & 80.01 \\ \hline \multirow{4}{*}{**C**} & 6 \({}^{\circ}\) & **99.78** & 99.04 & 98.90 & 98.72 & 97.03 & 90.23 & 99.57 & 92.07 & 89.39 \\  & 8 \({}^{\circ}\) & **99.74** & 97.92 & 97.10 & 96.46 & 95.71 & 88.91 & 98.44 & 87.13 & 81.07 \\ \cline{1-1}  & 10\% & **99.73** & 95.26 & 95.53 & 94.33 & 93.52 & 85.46 & 96.72 & 82.52 & 70.71 \\ \cline{1-1}  & Avg & **99.75** & 97.41 & 97.18 & 96.50 & 95.42 & 88.20 & 98.24 & 87.24 & 80.39 \\ \hline \multirow{4}{*}{**C**} & 1 st Count & **22** & 0 & 4 & 2 & 0 & 0 & 0 & 0 & 0 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: _Cont._  
\begin{table}
\begin{tabular}{c c c c c c c c c c} \hline \hline \multirow{2}{*}{**Methods**} & \multicolumn{2}{c}{**Our**} & \multirow{2}{*}{**FlexMark**} & \multirow{2}{*}{**ARWGAN**} & \multirow{2}{*}{**De-END**} & \multirow{2}{*}{**SSLW**} & \multirow{2}{*}{**MBRS**} & \multirow{2}{*}{**StegaStamp**} & \multirow{2}{*}{**IGA**} & \multirow{2}{*}{**HiDDeN**} \\  & & **Model** & & & & & & & & \\ \hline \multirow{4}{*}{**C**} & 0.01 & **99.96** & 96.21 & 99.44 & 99.35 & 99.13 & 96.14 & 95.93 & 92.36 & 88.42 \\  & 0.03 & **99.96** & 94.50 & 97.19 & 97.32 & 98.24 & 94.18 & 93.67 & 90.51 & 84.24 \\  & 0.05 & **99.87** & 94.04 & 95.91 & 96.43 & 97.12 & 92.82 & 90.75 & 89.21 & 81.65 \\  & Avg & **99.93** & 94.92 & 97.51 & 97.70 & 98.16 & 94.38 & 93.45 & 90.69 & 84.77 \\ \hline \multirow{4}{*}{**C**} & 10\% & **99.97** & 99.21 & 97.93 & 96.72 & 99.35 & 95.43 & 98.92 & 87.45 & 88.66 \\  & 30\% & **99.96** & 98.78 & 95.14 & 90.21 & 98.02 & 94.24 & 97.23 & 82.02 & 84.72 \\  & 50\% & **99.90** & 97.03 & 94.12 & 88.63 & 96.93 & 92.65 & 96.04 For more challenging attacks like compression and dropout, our model maintains its competitive performance.