{"title":"EnResNet:基于费曼-卡茨形式主义的对抗防御及其后续的ResNets集成","authors":"Bao Wang, Binjie Yuan, Zuoqiang Shi, S. Osher","doi":"10.1137/19m1265302","DOIUrl":null,"url":null,"abstract":"Empirical adversarial risk minimization is a widely used mathematical framework to robustly train deep neural nets that are resistant to adversarial attacks. However, both natural and robust accura...","PeriodicalId":74797,"journal":{"name":"SIAM journal on mathematics of data science","volume":"96 1","pages":"559-582"},"PeriodicalIF":1.9000,"publicationDate":"2020-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"EnResNet: ResNets Ensemble via the Feynman-Kac Formalism for Adversarial Defense and Beyond\",\"authors\":\"Bao Wang, Binjie Yuan, Zuoqiang Shi, S. Osher\",\"doi\":\"10.1137/19m1265302\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Empirical adversarial risk minimization is a widely used mathematical framework to robustly train deep neural nets that are resistant to adversarial attacks. However, both natural and robust accura...\",\"PeriodicalId\":74797,\"journal\":{\"name\":\"SIAM journal on mathematics of data science\",\"volume\":\"96 1\",\"pages\":\"559-582\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2020-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SIAM journal on mathematics of data science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1137/19m1265302\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIAM journal on mathematics of data science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1137/19m1265302","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
EnResNet: ResNets Ensemble via the Feynman-Kac Formalism for Adversarial Defense and Beyond
Empirical adversarial risk minimization is a widely used mathematical framework to robustly train deep neural nets that are resistant to adversarial attacks. However, both natural and robust accura...
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