(1)对抗攻击(adversarial attack) 深度学习中的神经网络在精心训练后,其分类准确性可以非常出色,但其的鲁棒性却可能很差,可能会轻易被对抗攻击打破。即通过对输入图片进行一个微小的扰动,就可以在几乎肉眼看不出差距的前提下,让神经网络的分类准确率大幅下降。 加了噪声之后DNN认为有99.3% 的概率,这是长臂猿 这种对...
这是因为“测试”函数报告受攻击的模型的准确性来自具有实力的对手ϵ。更具体地说,对于测试集中的每个样本,该函数计算输入数据(data_grad)的损失会产生扰动带有“fgsm_attack”(perturbed_data)的图像,然后输入模型验证其是否具有对抗性。除了测试模型的精度,该函数还保存并返回一些成功的对抗性示例将在实验的最后部分...
With this method, we won the first places in NIPS 2017 Non-targeted Adversarial Attack and Targeted Adversarial Attack competitions. \quad 我们希望所提出的方法将作为评估各种深度模型和防御方法的鲁棒性的基准。通过这种方法,我们在NIPS 2017非目标对抗攻击和目标对抗攻击比赛中获得了第一名。 1. 引言 \...
In addition, we compare Trans-IFFT-FGSM and other attack methods under the existence of a defense method, which denoises the AEs generated by these methods, and the evaluation results also suggest Trans-IFFT-FGSM outperforms other methods....
robustness思想: 分析了FGSM,I-FGSM,MI-FGSM,PGD,CW等方法,指出了固定步长在复杂边界处的不足:因为固定步长对抗样本是非固定步长的一个很小的子集,因此提出Ada-FGSM。算法...1.Universalization of anyadversarialattack using very few testexamples思想: 用目前的攻击方法(FGSM ...
2020年最新对抗攻击论文泛读 adversarial attack robustness 思想: 分析了FGSM,I-FGSM,MI-FGSM,PGD,CW等方法,指出了固定步长在复杂边界处的不足:因为固定步长对抗样本是非固定步长的一个很小的子集,因此提出Ada-FGSM。 算法...1.Universalization of any adversarial attack using very few test examples 思想: 用...
()returnperturbed_imgreturnattackdefifgsm(model, loss, eps, iters=4, softmax=False):# 多次FGSMdefattack(img, label):perturbed_img = imgperturbed_img.requires_grad =Truefor_inrange(iters):output = model(perturbed_img)ifsoftmax:error = loss(output, label)else:error = loss(output, label....
tensorflow adversarial-example fgsm capsule-network Updated Nov 9, 2017 Python wanglouis49 / pytorch-adversarial_box Star 145 Code Issues Pull requests PyTorch library for adversarial attack and training pytorch adversarial-learning adversarial-example adversarial-examples fgsm Updated Jan 16, 2019...
classPGD(Attack):def__init__(self,model,eps=8/255,alpha=2/255,steps=10,random_start=True):super().__init__("PGD",model)self.eps=eps self.alpha=alpha self.steps=steps self.random_start=random_start self.supported_mode=["default","targeted"]defforward(self,images,labels):r""" ...
deep-learning pytorch vgg cifar10 wideresnet cifar100 adversarial-training adversarial-attack vanilla-training fgsm-attack pgd-attack Updated on Feb 19 Python francescoiannaccone / NNAdversarialAttacks Star 1 Code Issues Pull requests Adversarial attacks on CNN using the FSGM technique. adversaria...