A novel perturbation attack on SVM by greedy algorithm

A novel perturbation attack on SVM by greedy algorithm

With the increasing concern of machine learning security issues, an adversarial sample generation method for SVM was proposed. This attack occurred in the testing stage by manipulating with the sample tofool the SVM classification model. Greedy strategy was used to search for salient feature subsets...

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Bibliographic Details
Main Authors: Yaguan QIAN, Xiaohui GUAN, Shuhui WU, NBensheng YU, Dongxiao REN
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2019-01-01
Series:Dianxin kexue
Subjects:
machine learning
support vector machine
greedy algorithm
salient feature
adversarial sample
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000−0801.2019014/
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http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000−0801.2019014/

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