for i in range(len(display)):
l = lam[i]
disp = display[i]
a = alpha[i]
img_perturbed = CW_attack_fast(
img_0=Y,
mean_cat_attack=mean_cat_attack,
cov_cat_attack=cov_cat_attack,
pi_cat_attack=pi_cat_attack,
mean_grass_attack=mean_grass_attack,
cov_grass_attack=cov_grass_attack,
pi_grass_attack=pi_grass_attack,
mean_cat_defense=mean_cat_defense,
cov_cat_defense=cov_cat_defense,
pi_cat_defense=pi_cat_defense,
mean_grass_defense=mean_grass_defense,
cov_grass_defense=cov_grass_defense,
pi_grass_defense=pi_grass_defense,
original_img=Y,
truth=truth,
l=l,
alpha=a,
display_iter=disp,
stride=stride,
title="lamda_{}_stride_{}_".format(l, stride),
path="./Outputs/Defense/AdversarialTraining/" + args.train + '/' +
args.attack_type + "/")
display_image(img_perturbed=img_perturbed,
mean_cat=mean_cat_defense,
cov_cat=cov_cat_defense,
l = lam[i]
disp = display[i]
a = alpha[i]
img_perturbed = CW_attack_fast(
img_0=Y,
mean_cat_attack=mean_cat_attack,
cov_cat_attack=cov_cat_attack,
pi_cat_attack=pi_cat_attack,
mean_grass_attack=mean_grass_attack,
cov_grass_attack=cov_grass_attack,
pi_grass_attack=pi_grass_attack,
mean_cat_defense=mean_cat_defense,
cov_cat_defense=cov_cat_defense,
pi_cat_defense=pi_cat_defense,
mean_grass_defense=mean_grass_defense,
cov_grass_defense=cov_grass_defense,
pi_grass_defense=pi_grass_defense,
original_img=Y,
truth=truth,
l=l,
alpha=a,
display_iter=disp,
stride=stride,
title="lamda_{}_stride_{}_".format(l, stride),
preprocessing=[None, None],
path="./Outputs/Defense/AdversarialQuantize/" + args.train + '/' +
str(args.n_bits) + 'bit/' + args.attack_type + '/',
attack_type=args.attack_type)
display_image(img_perturbed=img_perturbed,
mean_cat=mean_cat_defense,
for i in range(len(display)):
l = lam[i]
disp = display[i]
a = alpha[i]
img_perturbed = CW_attack_fast(
img_0=Y,
mean_cat_attack=mean_cat_attack,
cov_cat_attack=cov_cat_attack,
pi_cat_attack=pi_cat_attack,
mean_grass_attack=mean_grass_attack,
cov_grass_attack=cov_grass_attack,
pi_grass_attack=pi_grass_attack,
mean_cat_defense=mean_cat_defense,
cov_cat_defense=cov_cat_defense,
pi_cat_defense=pi_cat_defense,
mean_grass_defense=mean_grass_defense,
cov_grass_defense=cov_grass_defense,
pi_grass_defense=pi_grass_defense,
original_img=Y,
truth=truth,
l=l,
alpha=a,
display_iter=disp,
stride=stride,
title="lamda_{}_stride_{}_".format(l, stride),
preprocessing=[ht, ht_img],
path="./Outputs/Defense/Halftone/" + args.attack_type + "/",
attack_type=args.attack_type)
display_image(img_perturbed=img_perturbed,
mean_cat=mean_cat_defense,
cov_cat=cov_cat_defense,
### Analysis for Lamda variation
display = [5, 5,2]
lam=[0.5, 1, 5]
for i in range(len(display)):
l = lam[i]
disp = display[i]
img_perturbed = CW_attack_fast( img_0=Y,
mean_cat_attack=mean_cat,
cov_cat_attack=cov_cat,
pi_cat_attack=pi_cat,
mean_grass_attack=mean_grass,
cov_grass_attack=cov_grass,
pi_grass_attack=pi_grass,
mean_cat_defense = mean_cat,
cov_cat_defense = cov_cat,
pi_cat_defense = pi_cat,
mean_grass_defense = mean_grass,
cov_grass_defense = cov_grass,
pi_grass_defense = pi_grass,
path = './Outputs/rough/',
original_img = Y,
truth = truth,
l=l,
display_iter=disp,
stride=stride,
title="lamda_{}_stride_{}_".format(l,stride))
display_image(img_perturbed = img_perturbed,
mean_cat=mean_cat,
cov_cat=cov_cat,
pi_cat=pi_cat,
mean_grass=mean_grass,
cov_grass=cov_grass,
### Analysis for Lamda variation
display = [50, 10, 5]
lam = [1, 5, 10]
for i in range(len(display)):
l = lam[i]
disp = display[i]
img_perturbed = CW_attack_fast(img_0=Y,
mean_cat=mean_cat,
cov_cat=cov_cat,
pi_cat=pi_cat,
mean_grass=mean_grass,
cov_grass=cov_grass,
pi_grass=pi_grass,
mean_cat_infer=mean_cat,
cov_cat_infer=cov_cat,
pi_cat_infer=pi_cat,
mean_grass_infer=mean_grass,
cov_grass_infer=cov_grass,
pi_grass_infer=pi_grass,
original_img=Y,
truth=truth,
l=l,
display_iter=disp,
stride=stride,
title="lamda_{}_stride_{}_".format(
l, stride))
display_image(img_perturbed=img_perturbed,
mean_cat=mean_cat,
cov_cat=cov_cat,
pi_cat=pi_cat,
mean_grass=mean_grass,