Defense strategies for Adversarial Machine Learning: A survey

IF 13.3 1区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Computer Science Review Pub Date : 2023-08-01 DOI:10.1016/j.cosrev.2023.100573

Panagiotis Bountakas, Apostolis Zarras, A. Lekidis, C. Xenakis

引用次数: 1

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对抗性机器学习的防御策略:调查

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computer Science Review Computer Science-General Computer Science

CiteScore

32.70

自引率

0.00%

发文量

审稿时长

51 days

期刊介绍： Computer Science Review, a publication dedicated to research surveys and expository overviews of open problems in computer science, targets a broad audience within the field seeking comprehensive insights into the latest developments. The journal welcomes articles from various fields as long as their content impacts the advancement of computer science. In particular, articles that review the application of well-known Computer Science methods to other areas are in scope only if these articles advance the fundamental understanding of those methods.