{"title":"Compressive Sensing Methods for Defending Deep Learning 3D Classifiers","authors":"V. Kravets, B. Javidi, A. Stern","doi":"10.1364/3d.2022.3f3a.2","DOIUrl":null,"url":null,"abstract":"We overview methods for defending deep learning algorithms from adversarial attacks by compressive 3D sensing. With optical compressive sensing, these methods exhibit outstanding robustness to adaptive attacks.","PeriodicalId":286361,"journal":{"name":"Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)","volume":"476 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":"Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/3d.2022.3f3a.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We overview methods for defending deep learning algorithms from adversarial attacks by compressive 3D sensing. With optical compressive sensing, these methods exhibit outstanding robustness to adaptive attacks.