构建弹性机器学习中的人工智能技术

Guangye Dai, S. Sthapit, G. Epiphaniou, C. Maple
{"title":"构建弹性机器学习中的人工智能技术","authors":"Guangye Dai, S. Sthapit, G. Epiphaniou, C. Maple","doi":"10.1049/icp.2021.2405","DOIUrl":null,"url":null,"abstract":"Since the birth of artificial intelligence, theory and technology are increasingly mature, and the application field is also expanding. Some artificial intelligence technologies, such as deep learning, can help develop resilient machine learning to mitigate adversarial learning attacks. This paper uses a money lending case to explain the application of artificial intelligence in building resilient machine learning, and we use Generative Adversarial Network as an example. Moreover, we discuss the definition of resilient machine learning and give a review of adversarial machine learning attacks and threat actors.","PeriodicalId":254750,"journal":{"name":"Competitive Advantage in the Digital Economy (CADE 2021)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial Intelligence Technologies in Building Resilient Machine Learning\",\"authors\":\"Guangye Dai, S. Sthapit, G. Epiphaniou, C. Maple\",\"doi\":\"10.1049/icp.2021.2405\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Since the birth of artificial intelligence, theory and technology are increasingly mature, and the application field is also expanding. Some artificial intelligence technologies, such as deep learning, can help develop resilient machine learning to mitigate adversarial learning attacks. This paper uses a money lending case to explain the application of artificial intelligence in building resilient machine learning, and we use Generative Adversarial Network as an example. Moreover, we discuss the definition of resilient machine learning and give a review of adversarial machine learning attacks and threat actors.\",\"PeriodicalId\":254750,\"journal\":{\"name\":\"Competitive Advantage in the Digital Economy (CADE 2021)\",\"volume\":\"95 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Competitive Advantage in the Digital Economy (CADE 2021)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1049/icp.2021.2405\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Competitive Advantage in the Digital Economy (CADE 2021)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1049/icp.2021.2405","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

人工智能自诞生以来,理论和技术日趋成熟,应用领域也在不断扩大。一些人工智能技术,如深度学习,可以帮助开发弹性机器学习,以减轻对抗性学习攻击。本文以一个借贷案例来解释人工智能在构建弹性机器学习中的应用,并以生成对抗网络为例。此外,我们讨论了弹性机器学习的定义,并对对抗性机器学习攻击和威胁行为者进行了回顾。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Intelligence Technologies in Building Resilient Machine Learning
Since the birth of artificial intelligence, theory and technology are increasingly mature, and the application field is also expanding. Some artificial intelligence technologies, such as deep learning, can help develop resilient machine learning to mitigate adversarial learning attacks. This paper uses a money lending case to explain the application of artificial intelligence in building resilient machine learning, and we use Generative Adversarial Network as an example. Moreover, we discuss the definition of resilient machine learning and give a review of adversarial machine learning attacks and threat actors.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信