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\begin{table}[h] | ||
\centering | ||
\begin{tabular}{|c|c|} | ||
\hline | ||
parameter & value\\ | ||
\hline | ||
max_depth & 12 \\\hline | ||
objective & binary:logistic \\\hline | ||
tree_method & approx \\\hline | ||
learning_rate & 0.3 \\\hline | ||
n_estimators & 20 \\\hline | ||
gamma & 0 \\\hline | ||
reg_alpha & 0.0 \\\hline | ||
reg_lambda & 1 \\\hline | ||
model & XGBClassifier \\\hline | ||
|
||
\end{tabular}\caption{./Table/config_exp2 central attack} | ||
\label{tab:./Table/config_exp2 central attack} | ||
\end{table} |
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\begin{table}[h] | ||
\centering | ||
\begin{tabular}{|c|c|} | ||
\hline | ||
parameter & value\\ | ||
\hline | ||
max_depth & 12 \\\hline | ||
objective & binary:logistic \\\hline | ||
tree_method & exact \\\hline | ||
learning_rate & 0.3 \\\hline | ||
n_estimators & 40 \\\hline | ||
gamma & 0 \\\hline | ||
reg_alpha & 0 \\\hline | ||
reg_lambda & 1 \\\hline | ||
model & XGBClassifier \\\hline | ||
|
||
\end{tabular}\caption{./Table/config_exp2 federated attack1} | ||
\label{tab:./Table/config_exp2 federated attack1} | ||
\end{table} |
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\begin{table}[h] | ||
\centering | ||
\begin{tabular}{|c|c|} | ||
\hline | ||
parameter & value\\ | ||
\hline | ||
max_depth & 12 \\\hline | ||
objective & binary:logistic \\\hline | ||
tree_method & exact \\\hline | ||
learning_rate & 0.3 \\\hline | ||
n_estimators & 20 \\\hline | ||
gamma & 0 \\\hline | ||
reg_alpha & 0 \\\hline | ||
reg_lambda & 1 \\\hline | ||
model & XGBClassifier \\\hline | ||
|
||
\end{tabular}\caption{./Table/config_exp2 federated attack2} | ||
\label{tab:./Table/config_exp2 federated attack2} | ||
\end{table} |
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\begin{table}[h] | ||
\centering | ||
\begin{tabular}{|c|c|} | ||
\hline | ||
parameter & value\\ | ||
\hline | ||
max_depth & 12 \\\hline | ||
objective & binary:logistic \\\hline | ||
tree_method & approx \\\hline | ||
learning_rate & 0.3 \\\hline | ||
n_estimators & 20 \\\hline | ||
gamma & 0.5 \\\hline | ||
reg_alpha & 0.0 \\\hline | ||
reg_lambda & 0.1 \\\hline | ||
model & XGBClassifier \\\hline | ||
|
||
\end{tabular}\caption{./Table/config_experiment1_attack} | ||
\label{tab:./Table/config_experiment1_attack} | ||
\end{table} |
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\begin{table}[h] | ||
\centering | ||
\begin{tabular}{|c|c|} | ||
\hline | ||
parameter & value\\ | ||
\hline | ||
alpha & 0.0 \\\hline | ||
gamma & 0.5 \\\hline | ||
lam & 0.1 \\\hline | ||
learningrate & 0.3 \\\hline | ||
maxdepth & 8 \\\hline | ||
maxtree & 20 \\\hline | ||
model & FederBoost \\\hline | ||
|
||
\end{tabular}\caption{./Table/config_experiment1_targetandshadow} | ||
\label{tab:./Table/config_experiment1_targetandshadow} | ||
\end{table} |
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\begin{table}[h] | ||
\centering | ||
\begin{tabular}{|c|c|} | ||
\hline | ||
parameter & value\\ | ||
\hline | ||
alpha & 0.0 \\\hline | ||
gamma & 0.5 \\\hline | ||
lam & 0.1 \\\hline | ||
learningrate & 0.3 \\\hline | ||
maxdepth & 8 \\\hline | ||
maxtree & 20 \\\hline | ||
data_devision & [0.1, 0.9] \\\hline | ||
nBuckets & 100 \\\hline | ||
train_size & 10000 \\\hline | ||
model & FederBoost \\\hline | ||
|
||
\end{tabular}\caption{./Table/config_experiment2_targetandshadow} | ||
\label{tab:./Table/config_experiment2_targetandshadow} | ||
\end{table} |
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\begin{table*}[]\centering | ||
\begin{tabular}{|c| *{12}{m{1.0cm}|}} | ||
\hline\rowcolor{gray!50} | ||
\cellcolor{gray!80} nBuckets & \multicolumn{4}{c|}{healthcare} & \multicolumn{4}{c|}{synthetic-10} & \multicolumn{4}{c|}{synthetic-100}\\\hline | ||
& accuracy attack & recall attack & accuracy target & overfitting target & accuracy attack & recall attack & accuracy target & overfitting target & accuracy attack & recall attack & accuracy target & overfitting target\\\hline | ||
10 & 0.50 & 0.51 & 0.21 & 0.17 & 0.53 & 0.53 & 0.72 & 0.17 & 0.62 & 0.62 & 0.20 & 0.72\\ \hline | ||
20 & 0.50 & 0.48 & 0.21 & 0.18 & 0.53 & 0.55 & 0.73 & 0.19 & 0.66 & 0.67 & 0.21 & 0.75\\ \hline | ||
50 & 0.51 & 0.44 & 0.22 & 0.19 & 0.54 & 0.53 & 0.73 & 0.20 & 0.69 & 0.71 & 0.21 & 0.76\\ \hline | ||
100 & 0.51 & 0.42 & 0.23 & 0.19 & 0.55 & 0.52 & 0.70 & 0.21 & 0.70 & 0.74 & 0.21 & 0.77\\ \hline | ||
1000 & 0.51 & 0.44 & 0.21 & 0.19 & 0.55 & 0.54 & 0.69 & 0.23 & 0.71 & 0.73 & 0.20 & 0.78\\ \hline | ||
\end{tabular} | ||
\caption{FederBoost-central's attack metrics on nBuckets.} | ||
\label{tab:experiment1_nBuckets} | ||
\end{table*} |
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\begin{table*}[]\centering | ||
\begin{tabular}{|c| *{12}{m{1.0cm}|}} | ||
\hline\rowcolor{gray!50} | ||
\cellcolor{gray!80} train_size & \multicolumn{4}{c|}{healthcare} & \multicolumn{4}{c|}{synthetic-10} & \multicolumn{4}{c|}{synthetic-100}\\\hline | ||
& accuracy attack & recall attack & accuracy target & overfitting target & accuracy attack & recall attack & accuracy target & overfitting target & accuracy attack & recall attack & accuracy target & overfitting target\\\hline | ||
1000 & 0.67 & 0.71 & 0.31 & 0.64 & 0.72 & 0.76 & 0.58 & 0.42 & 0.85 & 0.90 & 0.07 & 0.93\\ \hline | ||
2000 & 0.59 & 0.66 & 0.31 & 0.60 & 0.69 & 0.70 & 0.61 & 0.39 & 0.84 & 0.89 & 0.12 & 0.88\\ \hline | ||
5000 & 0.54 & 0.54 & 0.28 & 0.34 & 0.60 & 0.57 & 0.69 & 0.28 & 0.77 & 0.80 & 0.19 & 0.80\\ \hline | ||
10000 & 0.51 & 0.43 & 0.23 & 0.19 & 0.54 & 0.52 & 0.72 & 0.20 & 0.70 & 0.72 & 0.20 & 0.77\\ \hline | ||
\end{tabular} | ||
\caption{FederBoost-central's attack metrics on train_size.} | ||
\label{tab:experiment1_train_size} | ||
\end{table*} |
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