Ronald Wilson, Hangwei Lu, Mengdi Zhu, Domenic Forte, D. Woodard
{"title":"REFICS: A Step Towards Linking Vision with Hardware Assurance","authors":"Ronald Wilson, Hangwei Lu, Mengdi Zhu, Domenic Forte, D. Woodard","doi":"10.1109/WACV51458.2022.00352","DOIUrl":null,"url":null,"abstract":"Hardware assurance is a key process in ensuring the integrity, security and functionality of a hardware device. Its heavy reliance on images, especially on Scanning Electron Microscopy images, makes it an excellent candidate for the vision community. The goal of this paper is to provide a pathway for inter-community collaboration by introducing the existing challenges for hardware assurance on integrated circuits in the context of computer vision and support further development using a large-scale dataset with 800,000 images. A detailed benchmark of existing vision approaches in hardware assurance on the dataset is also included for quantitative insights into the problem.","PeriodicalId":297092,"journal":{"name":"2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WACV51458.2022.00352","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Hardware assurance is a key process in ensuring the integrity, security and functionality of a hardware device. Its heavy reliance on images, especially on Scanning Electron Microscopy images, makes it an excellent candidate for the vision community. The goal of this paper is to provide a pathway for inter-community collaboration by introducing the existing challenges for hardware assurance on integrated circuits in the context of computer vision and support further development using a large-scale dataset with 800,000 images. A detailed benchmark of existing vision approaches in hardware assurance on the dataset is also included for quantitative insights into the problem.