Graphfool: Targeted Label Adversarial Attack on Graph Embedding-Reference-Cited by-同舟云学术

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Graphfool: Targeted Label Adversarial Attack on Graph Embedding

Published:2022 Issue: Volume: Page:1-13
ISSN:2329-924X
Container-title:IEEE Transactions on Computational Social Systems
language:
Short-container-title:IEEE Trans. Comput. Soc. Syst.

Author:

Chen Jinyin¹^ORCID,Huang Guohan²^ORCID,Zheng Haibin³^ORCID,Zhang Dunjie²,Lin Xiang²

Affiliation:

1. College of Information Engineering, Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou, China

2. College of Information Engineering, Zhejiang University of Technology, Hangzhou, China

3. Institute of Cyberspace Security, College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China

Funder

National Natural Science Foundation of China

National Key Laboratory of Science and Technology on Information System Security

Key Research and Development Projects in Zhejiang Province

2020 Industrial Internet Innovation Development Project

“Ten Thousand Talents Program” in Zhejiang Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/6570650/6780646/09801651.pdf?arnumber=9801651

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An effective targeted label adversarial attack on graph neural networks by strategically allocating the attack budget;Knowledge-Based Systems;2024-06

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