A dynamic‐adversarial mining approach to the security of machine learning-Reference-Cited by-同舟云学术

A dynamic‐adversarial mining approach to the security of machine learning

Published:2018-02-12 Issue:3 Volume:8 Page:
ISSN:1942-4787
Container-title:WIREs Data Mining and Knowledge Discovery
language:en
Short-container-title:WIREs Data Mining Knowl Discov

Author:

Sethi Tegjyot Singh¹^ORCID,Kantardzic Mehmed¹,Lyu Lingyu¹,Chen Jiashun²

Affiliation:

1. Data Mining LaboratoryUniversity of LouisvilleLouisvilleKentucky

2. College of Computer Science and TechnologyHuai Hai Institute of TechnologyLianyungangChina

Publisher

Wiley

Subject

General Computer Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/widm.1245

Reference69 articles.

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5. Alabdulmohsin I. M. Gao X. &Zhang X. (2014). Adding robustness to support vector machines against adversarial reverse engineering. InProceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management ACM pp. 231–240.

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