Class-based attack on graph convolution network

Prevalent use of graph structure data for classification tasks has brought attention to the robustness of graph convolutional networks. Recent study has been shown that graph convolutional networks are vulnerable to adversary attacks, causing a severe threat to real world application. In this report...

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Bibliographic Details
Main Author: He, HeFei
Other Authors: Anupam Chattopadhyay
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/156472
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Institution: Nanyang Technological University
Language: English

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