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Dissecting vulnerability in information fusion process of Graph Convolutional Networks
Shuman Zhuang
, Zhihao Wu
, Jicong Fan
, Zhaoliang Chen
, Jiali Yin
, Wei Huang
*
, Ximeng Liu
*
*
Corresponding author for this work
Department of Computer Science
Research output
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Contribution to journal
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Journal article
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peer-review
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Dive into the research topics of 'Dissecting vulnerability in information fusion process of Graph Convolutional Networks'. Together they form a unique fingerprint.
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Keyphrases
Vulnerability
100%
Information Fusion Algorithm
100%
Graph Convolutional Network
100%
Fusion Process
27%
Norm-based
18%
Graph Regularizer
18%
State-of-the-art Techniques
9%
Graph Structure
9%
Feature Space
9%
Weight-based
9%
Dynamically Adjust
9%
Adversarial Attack
9%
Graph-based
9%
2-norm
9%
Edge Weight
9%
P-norm
9%
Fusion Mechanism
9%
Suspiciousness
9%
Graph Laplacian Regularization
9%
Intrinsically Linked
9%
Adversarial Setting
9%
Feature Fitting
9%
Perturbation Attack
9%
Computer Science
Graph Convolutional Network
100%
Regularization
9%
Laplace Operator
9%
Adversarial Machine Learning
9%
Feature Space
9%
Adversarial Setting
9%