Adversarial Machine Learning 经典算法解读(FGSM, DeepFool) 最近关注Adversarial Machine Learning(AML),觉得这个方向挺有意思,看了几个AML中的经典算法,有点小的理解写下来加深记忆。由于第一次写CSDN博客,有错误的地方欢迎指出,共同讨论,而且比较懒,有些解释的图是画得不好,要耐心看。 在我看来,AML(Adversarial ...
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...,DeepFool,etl)获取几张不同的图的攻击成功的样本,将其组合成矩阵,对矩阵进行主成分分析、奇异值分解,获取他们的共同点,这样便可以得到...
pgd python3 pytorch cw adversarial-examples fgsm adversarial-attacks deepfool Updated May 5, 2020 Python AgentMaker / Paddle-Adversarial-Toolbox Star 17 Code Issues Pull requests Paddle-Adversarial-Toolbox (PAT) is a Python library for Deep Learning Security based on PaddlePaddle. pgd bim pad...
PGD-l2 0.710 0.353 PGD-inf 0.444 0.091 Deepfool-l2(ρadv) 0.178 0.022 C&W(ρadv) 0.129 0.016 Table 2: Comparison of time spent on training 50 epochs with adv.PGD and adv.FGSMR respectively. This experiment is based on CIFAR-10 dataset. Time ResNet-18 ResNet-34 ResNet-18 ResNet-34 ...
We evaluate and compare perturbation generated by Trans-IFFT-FGSM and other attack methods, including FGSM, PGD, DeepFool, and C &W on ImageNet and MNIST, and evaluation results suggest that Trans-IFFT-FGSM achieves a high attack success rate (ASR) and attack accuracy. In addition, we ...
deep-neural-networks computer-vision keras lbfgs adversarial-attacks deepfool tensorflow2 fgsm-attack Updated on Aug 1 Jupyter Notebook ezrc2 / adversarial-attack Star 0 Code Issues Pull requests Adversarial attacks on a deep neural network trained on ImageNet pytorch fgsm-attack Updated on...
DeepFool 算法概述 代码实现 Universal Perturbation FGSM 算法概述 在机器学习领域,对抗样本的问题始终存在。特别是在入侵检测、垃圾邮件识别等传统的安全应用场景,对抗样本的生成和识别一直是攻击者和防御者博弈的战场。2013年,Szegedy等人首次提出针对深度学习场景下的对抗样本生成算法--BFGS,作者认为,深度神经网络...