def poison_func_3(self, x):
return np.expand_dims(
insert_image(
x.squeeze(3), backdoor_path=self.backdoor_path, size=(5, 5), random=False, x_shift=3, y_shift=3
),
axis=3,
)
def poison_func_3(self, x):
return insert_image(x,
backdoor_path=self.backdoor_path,
size=(5, 5),
random=False,
x_shift=3,
y_shift=3)
def mod(x):
return perturbations.insert_image(
x,
backdoor_path=backdoor_path,
size=size,
mode=mode,
x_shift=x_shift,
y_shift=y_shift,
channels_first=channels_first,
blend=blend,
random=False,
)
def poison_func_6(self, x):
return np.expand_dims(insert_image(x,
backdoor_path=self.backdoor_path,
random=True,
size=(100, 100)),
axis=3)
def poison_func_4(self, x):
return np.expand_dims(insert_image(x.squeeze(3),
backdoor_path=self.backdoor_path,
size=(5, 5),
random=True),
axis=3)
def mod(x):
return perturbations.insert_image(x,
backdoor_path=backdoor_path,
size=size)
def poison_func_6(self, x):
return insert_image(x,
backdoor_path=self.backdoor_path,
random=True,
size=(100, 100))
def poison_func_4(self, x):
return insert_image(x,
backdoor_path=self.backdoor_path,
size=(5, 5),
random=True)