diff --git a/stargan/attacks.py b/stargan/attacks.py
index 8aa59db..b39b885 100644
--- a/stargan/attacks.py
+++ b/stargan/attacks.py
@@ -7,7 +7,7 @@ import torch
 import torch.nn as nn
 
 class LinfPGDAttack(object):
-    def __init__(self, model=None, device=None, epsilon=0.05, k=1, a=0.05, feat = None):
+    def __init__(self, model=None, device=None, epsilon=0.05, k=1, a=0.01, feat = None):
         self.model = model
         self.epsilon = epsilon
         self.k = k
@@ -24,7 +24,7 @@ class LinfPGDAttack(object):
         X = X_nat.clone().detach_()
 
         for i in range(self.k):
-            # print(i)
+            print(i)
             X.requires_grad = True
             output, feats = self.model(X, c_trg)
 
diff --git a/stargan/solver.py b/stargan/solver.py
index 6458439..3e87540 100644
--- a/stargan/solver.py
+++ b/stargan/solver.py
@@ -611,7 +611,6 @@ class Solver(object):
 
             # x_advs = []
             if i == 0:
-                print(i)
                 _, perturb = pgd_attack.perturb(x_real, black, c_trg_list[0])
                 # for idx, c_trg in enumerate(c_trg_list):
                 #     x_adv, perturb = pgd_attack.perturb(x_real, black, c_trg)
@@ -624,7 +623,8 @@ class Solver(object):
                 # Attack
                 # x_adv, perturb = pgd_attack.perturb(x_real, black, c_trg)
                 # _, perturb = x_advs[idx]
-                x_adv = x_real + perturb
+                # x_adv = x_real + perturb
+                x_adv = torch.clamp(x_real + perturb, min=-1, max=1)
                 # x_adv = self.blur_tensor(x_adv)
 
                 # Metrics