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08/31/2022
Unrestricted Adversarial Samples Based on Non-semantic Feature Clusters Substitution
Most current methods generate adversarial examples with the L_p norm spe...
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01/12/2022
Fine-grained Graph Learning for Multi-view Subspace Clustering
Multi-view subspace clustering has conventionally focused on integrating...
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04/30/2021
Black-box Gradient Attack on Graph Neural Networks: Deeper Insights in Graph-based Attack and Defense
Graph Neural Networks (GNNs) have received significant attention due to ...
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12/11/2020
I-GCN: Robust Graph Convolutional Network via Influence Mechanism
Deep learning models for graphs, especially Graph Convolutional Networks...
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10/21/2019