diff --git a/plot/table.py b/plot/table.py
index d8701dc..2eb2738 100644
--- a/plot/table.py
+++ b/plot/table.py
@@ -26,6 +26,7 @@ def make_table(self, fname, headers, mat):
             writer.headers = headers.split(',')
             writer.value_matrix = sorted(mat, key=srt)
             writer.write_table()
+            ensure_dir(fn)
             writer.dump(fn)
         return self
 
@@ -88,8 +89,8 @@ def fmt(r):
             t = (mean(r['folds']['dur']) / 1e9) if use_attack_dur \
                 else r['experiment']['duration_sec'] / k
             ba = attack[1:] if (attack[0] == 'V' or (
-                    attack == 'CPGD' and 'original'
-                    not in self.directory)) else attack
+                    attack == 'CPGD' and 'perf'
+                    in self.directory)) else attack
             if b := baseline.find(cls, name, ba):
                 if use_attack_dur:
                     if 'dur' in b['folds']:
diff --git a/ref_result/__time_ref_result_attacks.txt b/ref_result/__time_ref_result_attacks.txt
index 107ab41..9798728 100644
--- a/ref_result/__time_ref_result_attacks.txt
+++ b/ref_result/__time_ref_result_attacks.txt
@@ -1,17 +1,17 @@
   classifier    exp-name   attack   t0   t(s)  t-ratio
-Neural Network  IoT-23     CPGD      41   105     2.55
+Neural Network  IoT-23     CPGD      45   105     2.31
 Neural Network  IoT-23     VHSJ     507   483     0.95
 Neural Network  IoT-23     VPGD      41   144     3.49
 Neural Network  IoT-23     VZoo    2875  2916     1.01
-Neural Network  LCLD       CPGD      34   451    13.28
+Neural Network  LCLD       CPGD      78   451     5.79
 Neural Network  LCLD       VHSJ    1008  1000     0.99
 Neural Network  LCLD       VPGD      34   165     4.85
 Neural Network  LCLD       VZoo    4236  4080     0.96
-Neural Network  UNSW-NB15  CPGD      21    97     4.74
+Neural Network  UNSW-NB15  CPGD      52    97     1.88
 Neural Network  UNSW-NB15  VHSJ     850   771     0.91
 Neural Network  UNSW-NB15  VPGD      21    57     2.77
 Neural Network  UNSW-NB15  VZoo    3560  3430     0.96
-Neural Network  URL        CPGD      31   256     8.25
+Neural Network  URL        CPGD      47   256     5.50
 Neural Network  URL        VHSJ     477   441     0.92
 Neural Network  URL        VPGD      31   107     3.43
 Neural Network  URL        VZoo    2479  2351     0.95