Update app.py

app.py

@@ -122,7 +122,7 @@ def iterative_least_likely_fgsm_cifar10(image, model, epsilon, alpha, niter, nb_
     return adv_x.numpy()
 
 def fn(dataset, attack):
-    epsilon=5/255
+    epsilon=15/255
     alpha=1/255
     niter = int(min(4 + epsilon*255, 1.25 * epsilon * 255))
     nb_classes = 10