Parameter discrepancy hypothesis: adversarial attack for graph data

DOI10.1016/J.INS.2021.06.086zbMath1527.68208OpenAlexW3173636622MaRDI QIDQ6066170

Xuqiao Yu, Yiteng Wu, Xinbang Hu, Wei Liu

Publication date: 12 December 2023

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2021.06.086

zbMATH Keywords

Cook distanceadversarial attackgraph neural networkcontradictory data hypothesisparameter discrepancy hypothesis

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Computational aspects of data analysis and big data (68T09)

Cites Work

• On statistical models for regression diagnostics
• Simple explanation of the no-free-lunch theorem and its implications
• Graph deconvolutional networks
• Local Influence for Incomplete Data Models
• Case-deletion measures for models with incomplete data
• Detection of Influential Observation in Linear Regression
• Influential Observations in Linear Regression

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