Here we develop a theory of robustness of a system of n interdependent networks, which can be graphically repre- sented (see Fig. 1) as a network of networks (NON), based on the percolation approach. We develop an exact analyti- cal approach for percolation of a NONsystemcomposed of n...
 Robustness of network of networks with interdependent and interconnected links[J]. Physica A: Statistical Mechanics and its Applications . 2014Gaogao, D.; Ruijin, D.; Lixin, T.; Runran, L. Robustness of network of networks with interdependent and interconnected links. Phys. A 2013, 424,...
E. Robustness of a tree-like network of interdependent networks. Preprint at http://arxiv.org/abs/1108.5515 (2011).GAO J X,BULDYREV S V,HAVLIN S. Robustness of a tree-like network of interdependent networks[DB/OL].http://arxiv.org/abs/1108.5515 2011....
In this paper, we study the robustness of networks that are characterized by many-to-one communications (e.g., access networks and sensor networks) in a game-theoretic model. More specifically, we model the interactions between a network operator and an adversary as a two player zero-sum ...
This makes it difficult to apply neural networks in security-critical areas. Defensive distillation is a recently proposed approach that can take an arbitrary neural network, and increase its robustness, reducing the success rate of current attacks’ ability to find adversarial examples from 95% to ...
E. Robustness of a network of networks. Phys. Rev. Lett. 107, 195701 (2011). Article ADS PubMed Google Scholar Parshani, R., Buldyrev, S. V. & Havlin, S. Interdependent networks: reducing the coupling strength leads to a change from a first to second order percolation transition. ...
The level of such community structure in networks is typically measured using an index of modularity, Q. While modularity quantifies the degree to which individuals associate within versus between social communities and provides a useful measure of structure in the social network, it assumes that ...
From transportation networks to complex infrastructures and to social and economic networks, a large variety of systems can be described in terms of multiplex networks formed by a set of nodes interacting through different network layers. Network robustn
After cloning the repository you can either train a new network or evaluate/attack one of our pre-trained networks. Start training by running: python train.py (Optional) Evaluation summaries can be logged by simultaneously running: python eval.py ...
3 Vulnerability of Spiking Neural Networks 3.1 Spiking Neural Network under Attack 尽管在某些情况下,SNN比ANN更鲁棒,但当应用有效的对抗攻击方法时,大多数SNN仍然很脆弱。先前的工作已经通过实验证明,梯度攻击方法(如FGSM)可以应用于SNN [Sharmin et al., 2019, 2020]。然而,由于脉冲神经元的不可微分特性,通过...