论文题目:One pixel attack for fooling deep neural networks
论文地址:https://arxiv.org/abs/1710.08864
One-pixel
The goal of adversaries in the case of targeted attacks is to find the optimized solution for the following question:
where
- , n-dimensional inputs
- , the target image classifier
- , the probability of belonging to the class
- , an additive adversarial perturbation according to
- , the target class
- , the limitation of maximum modification
In our approach, the equation is slightly different:
where is a small number. In the case of one-pixel attack .
note: 0范数表示向量中非零元素的个数。
参考
One pixel 对抗攻击_学习笔记
修改一个像素,就能让神经网络识别图像出错
论文阅读笔记三十:One pixel attack for fooling deep neural networks(CVPR2017)
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