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20182021
most citedUncertainty Aware Semi-Supervised Learning on Graph Data

53 citations · 119 across the 9 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

cs.LG2020

Multidimensional Uncertainty-Aware Evidential Neural Networks

Yibo Hu, Yuzhe Ou, Xujiang Zhao +2

Traditional deep neural networks (NNs) have significantly contributed to the state-of-the-art performance in the task of classification under various application domains. However,…

cs.SI2020

A Survey on Centrality Metrics and Their Implications in Network Resilience

Zelin Wan, Yash Mahajan, Beom Woo Kang +2

Centrality metrics have been used in various networks, such as communication, social, biological, geographic, or contact networks. In particular, they have been used in order to st…

cs.LG2020★ 53 cited

Uncertainty Aware Semi-Supervised Learning on Graph Data

Xujiang Zhao, Feng Chen, Shu Hu +1

Thanks to graph neural networks (GNNs), semi-supervised node classification has shown the state-of-the-art performance in graph data. However, GNNs have not considered different ty…

cs.CR2020★ 3 cited

Diversity-By-Design for Dependable and Secure Cyber-Physical Systems: A Survey

Qisheng Zhang, Abdullah Zubair Mohammed, Zelin Wan +2

Diversity-based security approaches have been studied for several decades since the 1970's. The concept of diversity-by-design emerged in the 1980's and, since then, diversity-base…

cs.CR2020★ 1 cited

Vulnerability-Aware Resilient Networks: Software Diversity-based Network Adaptation

Qisheng Zhang, Jin-Hee Cho, Terrence J. Moore +1

By leveraging the principle of software polyculture to ensure security in a network, we proposed a vulnerability-based software diversity metric to determine how a network topology…

cs.CR2020★ 6 cited

Proactive Defense for Internet-of-Things: Integrating Moving Target Defense with Cyberdeception

Mengmeng Ge, Jin-Hee Cho, Dong Seong Kim +2

Resource constrained Internet-of-Things (IoT) devices are highly likely to be compromised by attackers because strong security protections may not be suitable to be deployed. This…