[论文笔记] Intriguing properties of neural networks 说在前面 个人心得: 该paper主要是发现了以下两个有趣的性质 神经网络中携带语义信息的不是某单个神经元,而是整个网络(或者说那一层)所表示的空间 给样本添加一些轻微的扰动,会导致神经网络模型错误分类,这些样本就称为对抗样本(一般认为这篇paper是对抗样本...
Intriguing properties of neural networks——阅读笔记 小组成员:岑鹏,吴易佳,秦红梅 2020.4.1 1. 中心思想 我们小组阅读了Intriguing properties of neural networks,本文主要介绍了两个方面一个是神经网络的语义信息不存在于独立的神经元中,而存在于整个神经元激活的空间内。另外一个是神经网络的盲点---对抗样本...
作者有两个基本的假设: it is assumed that is possible for the output unit to assign nonsignificant (and, presumably, non-epsilon) probabilities to regions of the input space that contain no training examples in their vicinity. The adversarial examples represent low-probability (high-dimensional) “...
One involves the change with time of the activity of each neuron. The other involves the change in strength of the connections (synapses) between neurons. When a neural network is learning or developing, both processes simultaneously take place, and their dynamics interact. This interaction is ...
2013. Intriguing properties of neural networks. arXiv preprint. arXiv:1312.6199. R Rishi,EB Issa,B Pouya,... - 《Journal of Neuroscience》 被引量: 33发表: 2018年 Retrieval dynamics of neural networks for sparsely coded sequential patterns It is well known that a sparsely coded network in wh...
Caution: A newer version of the Neural Net modeling node, with enhanced features, is available in this release and is described in the next section (neuralnetwork). Although you can still build and score a model with the previous version, we recommend updating your scripts to use the new ...
Studies the stability of dynamical neural networks by using the matrix measure technique. Properties of matrix measure; Study of global and local stability... S Chen,SA Billings - 《Int.j.control》 被引量: 124发表: 1992年 Dynamic properties of neural network with adapting synapses It is pointe...
These properties define the details of eachith network input. net.inputs{1}.name This property consists of a string defining the input name. Network creation functions, such asfeedforwardnet, define this appropriately. But it can be set to any string as desired. ...
4 Blind Spots in Neural Networks 考虑到网络所学到特征的复杂性,基于单个单元去了解模型所学到的特征的方法(unit-level inspection method)不能充分体现网络所学到的全部抽象特征。 Global, network level inspection methodsp[3]-我们基于一个已经可以对数据很好分类的网络,和已经可以用网络很好分类的数据集,可以用...
论文地址:Intriguing properties of neural networks 1. Abstract and Introduction 因为强大的表现能力,深度神经网络在各个领域都取得了state-of-the-art的表现,但是其学习到的特征往往是反直觉特性的(counter-intuitive)和无法解释的(uninterpretable)。这篇文章对此做出了解释:...