Update app.py

app.py

@@ -635,23 +635,82 @@ def fig_tradeoff():
     return fig
 
 def fig_auc_trend():
-    fig, axes = plt.subplots(1, 2, figsize=(17, 7.2)); apply_academic_style(fig, axes); ax = axes[0]; eps_vals = [0.0, 0.02, 0.05, 0.1, 0.2]; auc_vals = [gm(k, 'auc') for k in LS_KEYS]; acc_vals = [gu(k) for k in LS_KEYS]
-    ax2 = ax.twinx(); 
-    line1 = ax.plot(eps_vals, auc_vals, marker='o', ls='-', color='black', lw=3, ms=9, label='MIA AUC (Risk)', zorder=5); 
-    line2 = ax2.plot(eps_vals, acc_vals, marker='s', ls='--', color='black', lw=3, ms=9, label='Utility % (right)', zorder=5); 
+    # 改为上下排版：上图为标签平滑趋势，下图为输出扰动趋势
+    # 这样插入论文时每个子图宽度更大，可读性更好。
+    fig, axes = plt.subplots(2, 1, figsize=(10.5, 12.5))
+    apply_academic_style(fig, axes)
+
+    # -------------------------------
+    # 上图：标签平滑趋势
+    # -------------------------------
+    ax = axes[0]
+    eps_vals = [0.0, 0.02, 0.05, 0.1, 0.2]
+    auc_vals = [gm(k, 'auc') for k in LS_KEYS]
+    acc_vals = [gu(k) for k in LS_KEYS]
+
+    ax2 = ax.twinx()
+    line1 = ax.plot(
+        eps_vals, auc_vals,
+        marker='o', ls='-', color='black',
+        lw=3, ms=9, label='MIA AUC (Risk)', zorder=5
+    )
+    line2 = ax2.plot(
+        eps_vals, acc_vals,
+        marker='s', ls='--', color='black',
+        lw=3, ms=9, label='Utility % (right)', zorder=5
+    )
+
     ax.axhline(0.5, color='gray', ls=':')
     ax.fill_between(eps_vals, auc_vals, 0.5, alpha=0.2, color='gray', hatch='//')
-    ax.set_xlabel('Label Smoothing ε', fontsize=THESIS_AXIS_LABEL_SIZE, fontweight='normal'); ax.set_ylabel('MIA AUC', fontsize=THESIS_AXIS_LABEL_SIZE, fontweight='normal', color='black'); ax2.set_ylabel('Utility (%)', fontsize=THESIS_AXIS_LABEL_SIZE, fontweight='normal', color='black'); ax.set_title('Label Smoothing Trends', fontsize=THESIS_SUPTITLE_SIZE, fontweight='normal', pad=15); ax.tick_params(axis='y', labelcolor='black'); ax2.tick_params(axis='y', labelcolor='black'); ax2.spines['right'].set_color('black'); ax2.spines['left'].set_color('black'); lines = line1 + line2; labels = [l.get_label() for l in lines]
+
+    ax.set_xlabel('Label Smoothing ε', fontsize=THESIS_AXIS_LABEL_SIZE, fontweight='normal')
+    ax.set_ylabel('MIA AUC', fontsize=THESIS_AXIS_LABEL_SIZE, fontweight='normal', color='black')
+    ax2.set_ylabel('Utility (%)', fontsize=THESIS_AXIS_LABEL_SIZE, fontweight='normal', color='black')
+    ax.set_title('Label Smoothing Trends', fontsize=THESIS_SUPTITLE_SIZE, fontweight='normal', pad=15)
+
+    ax.tick_params(axis='y', labelcolor='black')
+    ax2.tick_params(axis='y', labelcolor='black')
+    ax2.spines['right'].set_color('black')
+    ax2.spines['left'].set_color('black')
+
+    lines = line1 + line2
+    labels = [l.get_label() for l in lines]
     ax.legend(lines, labels, fontsize=THESIS_LEGEND_SIZE, facecolor='white', edgecolor='black', loc='lower right')
-    
-    ax = axes[1]; sig_vals = OP_SIGMAS; auc_op = [gm(k, 'auc') for k in OP_KEYS]; 
-    ax.plot(sig_vals, auc_op, marker='^', ls='-', color='black', lw=3, ms=9, zorder=5, label='MIA AUC'); 
-    ax.axhline(bl_auc, color='black', ls='--', lw=2, label=f'Baseline ({bl_auc:.4f})'); 
-    ax.axhline(0.5, color='gray', ls=':', label='Random (0.5)'); 
-    ax.fill_between(sig_vals, auc_op, bl_auc, alpha=0.2, color='gray', hatch='\\\\', label='AUC Reduction')
-    ax2r = ax.twinx(); ax2r.axhline(bl_acc, color='black', ls='-', lw=2.5); ax2r.set_ylabel(f'Utility = {bl_acc:.1f}% (unchanged)', fontsize=THESIS_AXIS_LABEL_SIZE, fontweight='normal', color='black'); ax2r.set_ylim(0,100); ax2r.tick_params(axis='y', labelcolor='black'); ax2r.spines['right'].set_color('black')
-    ax.set_xlabel('Perturbation σ', fontsize=THESIS_AXIS_LABEL_SIZE, fontweight='normal'); ax.set_ylabel('MIA AUC', fontsize=THESIS_AXIS_LABEL_SIZE, fontweight='normal'); ax.set_title('Output Perturbation Trends', fontsize=THESIS_SUPTITLE_SIZE, fontweight='normal', pad=15)
-    ax.legend(fontsize=THESIS_LEGEND_SIZE, facecolor='white', edgecolor='black', loc='lower left'); plt.tight_layout()
+
+    # -------------------------------
+    # 下图：输出扰动趋势
+    # -------------------------------
+    ax = axes[1]
+    sig_vals = OP_SIGMAS
+    auc_op = [gm(k, 'auc') for k in OP_KEYS]
+
+    ax.plot(
+        sig_vals, auc_op,
+        marker='^', ls='-', color='black',
+        lw=3, ms=9, zorder=5, label='MIA AUC'
+    )
+    ax.axhline(bl_auc, color='black', ls='--', lw=2, label=f'Baseline ({bl_auc:.4f})')
+    ax.axhline(0.5, color='gray', ls=':', label='Random (0.5)')
+    ax.fill_between(sig_vals, auc_op, bl_auc, alpha=0.2, color='gray', hatch='\\', label='AUC Reduction')
+
+    ax2r = ax.twinx()
+    ax2r.axhline(bl_acc, color='black', ls='-', lw=2.5)
+    ax2r.set_ylabel(
+        f'Utility = {bl_acc:.1f}% (unchanged)',
+        fontsize=THESIS_AXIS_LABEL_SIZE,
+        fontweight='normal',
+        color='black'
+    )
+    ax2r.set_ylim(0, 100)
+    ax2r.tick_params(axis='y', labelcolor='black')
+    ax2r.spines['right'].set_color('black')
+
+    ax.set_xlabel('Perturbation σ', fontsize=THESIS_AXIS_LABEL_SIZE, fontweight='normal')
+    ax.set_ylabel('MIA AUC', fontsize=THESIS_AXIS_LABEL_SIZE, fontweight='normal')
+    ax.set_title('Output Perturbation Trends', fontsize=THESIS_SUPTITLE_SIZE, fontweight='normal', pad=15)
+    ax.legend(fontsize=THESIS_LEGEND_SIZE, facecolor='white', edgecolor='black', loc='lower left')
+
+    plt.subplots_adjust(hspace=0.40, top=0.95, bottom=0.08, left=0.10, right=0.90)
     return fig
 
 # ================================================================