## 5 Further Exploring Differential Privacy in the Training Dataset--Results
\begin{table}
\begin{tabular}{c c c c c c c c c c c c c c} \hline \hline
**\#** & **Batch_Size** & **Learning\_Rate** & **L2 Norm\_Bound** & **Sigma** & **Dataset** & **Model** & **Use\_Privacy** & **N\_Epochs** & **Eps** & **Delta** & **Max\_Eps** & **Max\_Delta** & **Target\_Eps** \\ \hline
1 & 64 & 0.01 & 4.0 & 4.0 & MNIST & dense & False & 100 & — & — & — & — & — \\ \hline
2 & 64 & 0.01 & 4.0 & 4.0 & MNIST & dense & True & 100 & 1.0 & \(1\times 10^{-7}\) & 16.0 & \(1\times 10^{-3}\) & 16.0 \\ \hline
3 & 64 & 0.01 & 4.0 & 4.0 & MNIST & cnn & False & 100 & — & — & — & — \\ \hline
4 & 64 & 0.01 & 4.0 & 4.0 & MNIST & cnn & True & 100 & 1.0 & \(1\times 10^{-7}\) & 64.0 & \(1\times 10^{-3}\) & 64.0 \\ \hline
5 & 64 & 0.01 & 4.0 & 4.0 & CIFAR-10 & dense & False & 100 & — & — & — & — \\ \hline
6 & 64 & 0.01 & 4.0 & 4.0 & CIFAR-10 & dense & True & 100 & 1.0 & \(1\times 10^{-7}\) & 16.0 & \(1\times 10^{-3}\) & 16.0 \\ \hline
7 & 64 & 0.01 & 4.0 & 4.0 & CIFAR-10 & cnn & False & 100 & — & — & — & — \\ \hline
8 & 64 & 0.01 & 4.0 & 4.0 & CIFAR-10 & cnn & True & 100 & 1.0 & \(1\times 10^{-7}\) & 64.0 & \(1\times 10^{-3}\) & 64.0 \\ \hline
9 & 64 & 0.01 & 4.0 & 4.0 & MNIST & dense & True & 100 & 1.0 & \(1\times 10^{-7}\) & 64.0 & \(1\times 10^{-3}\) & 64.0 \\ \hline
10 & 64 & 0.01 & 4.0 & 4.0 & CIFAR-10 & dense & True & 100 & 1.0 & \(1\times 10^{-7}\) & 64.0 & \(1\times 10^{-3}\) & 64.0 \\ \hline
11 & 64 & 0.01 & 4.0 & 4.0 & MNIST & dense & False & 250 & — & — & — & — \\ \hline
12 & 64 & 0.01 & 4.0 & 4.0 & MNIST & dense & True & 250 & 1.0 & \(1\times 10^{-7}\) & 64.0 & \(1\times 10^{-3}\) & 64.0 \\ \hline
13 & 64 & 0.01 & 4.0 & 4.0 & MNIST & cnn & False & 250 & — & — & — & — \\ \hline
14 & 64 & 0.01 & 4.0 & 4.0 & MNIST & cnn & True & 250 & 1.0 & \(1\times 10^{-7}\) & 64.0 & \(1\times 10^{-3}\) & 64.0 \\ \hline
15 & 64 & 0.01 & 4.0 & 4.0 & CIFAR-10 & dense & False & 250 & — & — & — & — \\ \hline
16 & 64 & 0.01 & 4.0 & 4.0 & CIFAR-10 & dense & True & 250 & 1.0 & \(1\times 10^{-7}\) & 64.0 & \(1\times 10^{-2}\) & 64.0 \\ \hline
17 & 64 & 0.01 & 4.0 & 4.0 & CIFAR-10 & cnn & False & 250 & — & — & — & — \\ \hline
18 & 64 & 0.01 & 4.0 & 4.0 & CIFAR-10 & cnn & True & 250 & 1.0 & \(1\times 10^{-7}\) & 64.0 & \(1\times 10^{-3}\) & 64.0 \\ \hline
19 & 64 & 0.01 & 4.0 & 4.0 & MNIST & dense & True & 250 & 0.5 & \(1\times 10^{-7}\) & 4.0 & \(1\times 10^{-3}\) & 4.0 \\ \hline
20 & 64 & 0.01 & 4.0 & 4.0 & MNIST & dense & True & 250 & 0.5 & \(1\times 10^{-7}\) & 1.0 & \(1\times 10^{-3}\) & 1.0 \\ \hline
21 & 64 & 0.01 & 4.0 & 4.0 & MNIST & dense & True & 250 & 0.5 & \(1\times 10^{-7}\) & 10.0 & \(1\times 10^{-2}\) & 10.0 \\ \hline
22 & 128 & 0.01 & 4.0 & 4.0 & MNIST & dense & True & 250 & 0.5 & \(1\times 10^{-7}\) & 8.0 & \(1\times 10^{-2}\) & 8.0 \\ \hline
23 & 32 & 0.01 & 4.0 & 4.0 & MNIST & dense & True & 250 & 0.5 & \(1\times 10^{-7}\) & 16.0 & \(1\times 10^{-2}\) & 16.0 \\ \hline
24 & 16 & 0.01 & 4.0 & 4.0 & MNIST & dense & True & 250 & 0.5 & \(1\times 10^{-7}\) & 32.0 & \(1\times 10^{-2}\) & 32.0 \\ \hline
25 & 8 & 0.01 & 4.0 & 4.0 & MNIST & dense & True & 250 & 0.5 & \(1\times 10^{-7}\) & 32.0 & \(1\times 10^{-2}\) & 32.0 \\ \hline \hline \end{tabular}
\end{table} 
Table 1: The hyperparameters chosen for the set of experiments. \begin{table}
\begin{tabular}{c c c c c c c c c c c c c c c} \hline \hline \# & **Batch\_Size** & **Learning\_Rate** & **L2 Norm\_Bound** & **Sigma** & **Dataset** & **Model** & **Use\_Privacy** & **N\_Epochs** & **Eps** & **Delta** & **Max\_Eps** & **Max\_Delta** & **Target\_Eps** \\ \hline  
\hline \end{tabular}
\end{table} 
Table 1: _Cont._The results of the experiments are shown in Table 2. For simplicity, we omitted from this table the columns corresponding to the values of the hyperparameters \"Learning_Rate\", \"L2 Norm_Bound\", \"Sigma\", and \"Delta\" since they are constant for all the experiments, as shown in Table 1; however, we still keep, in Table 2, the values of the remaining hyperparameters despite the fact they are also described in Table 1 to facilitate the presentation of the results.