Adversarial Spam Detector With Character Similarity Network-Reference-Cited by-同舟云学术

Adversarial Spam Detector With Character Similarity Network

Published:2023-03 Issue:3 Volume:19 Page:2541-2551
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Chen Yan-Hui¹,Huang Ling²^ORCID,Wang Chang-Dong¹^ORCID,Fu Min³,Huang Shu-Qiang⁴^ORCID,Huang Jianyi³,Tan Youwei³,Yan Chenfan³

Affiliation:

1. School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China

2. College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China

3. LIZHI Inc., Guangzhou, China

4. Guangdong Provincial Key Laboratory of Public Finance and Taxation with Big Data Application, Guangdong, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Guangdong Province Key Laboratory of Computational Science at the Sun Yat-sen University

Open Foundation of Guangdong Provincial Key Laboratory of Public Finance and Taxation

joint project of production, teaching and research of Zhuhai

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/10064202/09782583.pdf?arnumber=9782583

Reference42 articles.

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4. Online active learning methods for fast label-efficient spam filtering;sculley;Proc 4th Conf Email Anti-Spam,0

5. Opinion spam and analysis

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