Network Robustness

Network robustness research focuses on assessing and enhancing the resilience of networks—be they computer networks, power grids, or social systems—against disruptions or attacks. Current efforts leverage machine learning, particularly convolutional neural networks (CNNs) and graph transformers, to efficiently predict network robustness and identify vulnerabilities, often surpassing the speed and scalability of traditional simulation methods. This research is crucial for improving the reliability and security of critical infrastructure and complex systems, offering faster and more accurate assessments of network stability and guiding the design of more resilient architectures.

Papers

October 10, 2024

Growing Efficient Accurate and Robust Neural Networks on the Edge
Vignesh Sundaresha, Naresh Shanbhag
Extreme Edge Edge Device Accuracy Improvement Robust Network Network Robustness Backbone Network

February 1, 2024

Develop End-to-End Anomaly Detection System
Emanuele Mengoli, Zhiyuan Yao, Wutao Wei
Native Robustness Anomaly Detection Network Robustness

August 10, 2023

Comprehensive Analysis of Network Robustness Evaluation Based on Convolutional Neural Networks with Spatial Pyramid Pooling
Wenjun Jiang, Tianlong Fan, Changhao Li, Chuanfu Zhang, Tao Zhang, Zong-fu Luo
Convolutional Neural Network Native Robustness Complex Network Convolutional Neural Network Model Comprehensive Analysis Sparse Connectivity Spatial Pyramid Pooling Network Robustness

July 7, 2023

A Theoretical Perspective on Subnetwork Contributions to Adversarial Robustness
Jovon Craig, Josh Andle, Theodore S. Nowak, Salimeh Yasaei Sekeh
Adversarial Attack Adversarial Training Adversarial Robustness Network Robustness

June 12, 2023

A Graph Transformer-Driven Approach for Network Robustness Learning
Yu Zhang, Jia Li, Jie Ding, Xiang Li
Graph Drawing Sparse Connectivity Network Robustness

May 13, 2023

SPP-CNN: An Efficient Framework for Network Robustness Prediction
Chengpei Wu, Yang Lou, Lin Wang, Junli Li, Xiang Li, Guanrong Chen
CNN Network Efficient Framework Spatial Pyramid Pooling Network Robustness

May 12, 2023

Mastering Percolation-like Games with Deep Learning
Michael M. Danziger, Omkar R. Gojala, Sean P. Cornelius
Deep Learning Native Robustness Deep Q Learning Reinforcement Learning Approach Network Robustness Single Player Graph Building Game

October 17, 2022

Predicting Dynamic Stability from Static Features in Power Grid Models using Machine Learning
Maurizio Titz, Franz Kaiser, Johannes Kruse, Dirk Witthaut
Machine Learning Network Science Network Metric Network Robustness Static Feature

September 21, 2022

DARTSRepair: Core-failure-set Guided DARTS for Network Robustness to Common Corruptions
Xuhong Ren, Jianlang Chen, Felix Juefei-Xu, Wanli Xue, Qing Guo, Lei Ma, Jianjun Zhao, Shengyong Chen
Model Architecture Differentiable Architecture Search Common Corruption Network Robustness Network Architecture Search

August 25, 2022

CNN-based Prediction of Network Robustness With Missing Edges
Chengpei Wu, Yang Lou, Ruizi Wu, Wenwen Liu, Junli Li
Native Robustness Human Prediction Complex Network Controllability Condition Border Control Network Robustness

March 20, 2022

A Learning Convolutional Neural Network Approach for Network Robustness Prediction
Yang Lou, Ruizi Wu, Junli Li, Lin Wang, Xiang Li, Guanrong Chen
Convolutional Neural Network Native Robustness Sparse Connectivity Network Robustness