53 lines
1.5 KiB
53 lines
1.5 KiB
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
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#
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#Licensed under the Apache License, Version 2.0 (the "License");
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#you may not use this file except in compliance with the License.
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#You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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#Unless required by applicable law or agreed to in writing, software
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#distributed under the License is distributed on an "AS IS" BASIS,
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#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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#See the License for the specific language governing permissions and
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#limitations under the License.
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"""
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The base model of the model.
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"""
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from abc import ABCMeta, abstractmethod
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class Attack(object):
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"""
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Abstract base class for adversarial attacks. `Attack` represent an adversarial attack
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which search an adversarial example. subclass should implement the _apply() method.
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Args:
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model(Model): an instance of the class advbox.base.Model.
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"""
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__metaclass__ = ABCMeta
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def __init__(self, model):
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self.model = model
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def __call__(self, image_label):
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"""
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Generate the adversarial sample.
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Args:
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image_label(list): The image and label tuple list with one element.
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"""
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adv_img = self._apply(image_label)
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return adv_img
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@abstractmethod
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def _apply(self, image_label):
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"""
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Search an adversarial example.
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Args:
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image_batch(list): The image and label tuple list with one element.
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"""
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raise NotImplementedError
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