Improving the Robustness of Deep Neural Networks via Stability Training(CVPR2016):提出‘stability training’的方法,使神经网络对图片扰动更鲁棒。作者单位: Google Adversarial Training Methods for Semi-Supervised Text Classification(ICLR 2017):通过Virtual adversarial training使模型输出的分布更平滑。作者单位:Kyot...
The tuning stage can also include adjusting the pretrained parameters based at least on the labeled training examples and the noise-adjusted training examples to obtain adapted parameters. The example method can also include outputting a tuned machine learning model having the adapted parameters.LIU, ...
对抗训练(Adversarial Training),顾名思义,就是在训练过程中产生一些攻击样本,早期是FGSM和I-FGSM攻...
Smooth Adversarial Training认为传统的ReLU函数在对抗训练里会严重拖后腿,所以提出了一个新的激活函数Smooth...
机器学习攻击:下毒和逃避(training and testing) 提出一些对抗对抗攻击的系统评估方法 设计一些抵抗对抗攻击的机制 我们研究了过去十年或更早的对抗机器学习,从早期的安全非深度学习算法到最近更多关注到的深度学习的安全属性。我们的目标是将这些明显不同的工作路线联系起来,同时也强调与学习算法的安全评估有关的常见误解...
Adversarial learning is a relatively novel technique in ML and has been very successful in training complex generative models with deep neural networks based ongenerative adversarial networks, orGANs. In GANs, a generative model of the data is trained by viewing the problem as a...
Various computer science researchers developed the concept of machine learning -- and its implementations like neural networks -- throughout the 20th century. For instance, British-Canadian cognitive psychologist and computer scientist Geoffrey Hinton made significant contributions on training deep neural net...
索引词:深度神经网络(deep neural network),深度学习(deep learning),安全(security),对抗样本(adversarial examples)。 1. 介绍 在机器学习(Machine learning, ML)的各种领域中,深度学习(Deep learning, DL)都取得了重大进展,例如图像分类(image classification)、目标识别(object recognition) [1][2]、目标检测(obj...
论文阅读 | A Robust Adversarial Training Approach to Machine Reading Comprehension 背景 方法 作者们提出了一种模型驱动的方法,使用自动对抗的方法自动生成未观察过的对抗样本,并运用生成的样本最终提升阅读理解模型的效果鲁棒性,全程无需人工参与。 该方法可以简单地划分为三个步骤:...
Adversarial training uses adversarial images besides the clean images to train machine learning models. 对抗训练是指除了使用干净的图像外,还使用对抗性图像来训练机器学习模型 1.4 Adversary Adversary more commonly refers to the agent who creates an adversarial example. However, in some cases the example ...