{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,27]],"date-time":"2026-05-27T22:15:33Z","timestamp":1779920133333,"version":"3.53.1"},"reference-count":65,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62174162"],"award-info":[{"award-number":["62174162"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Space Trusted Computing and Electronic Information Technology Laboratory of Beijing Institute of Control Engineering","award":["OBCandETL-2022-07"],"award-info":[{"award-number":["OBCandETL-2022-07"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. VLSI Syst."],"published-print":{"date-parts":[[2023,11]]},"DOI":"10.1109\/tvlsi.2023.3306894","type":"journal-article","created":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T17:41:05Z","timestamp":1693590065000},"page":"1763-1773","source":"Crossref","is-referenced-by-count":9,"title":["Exploring Winograd Convolution for Cost-Effective Neural Network Fault Tolerance"],"prefix":"10.1109","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-2883-6280","authenticated-orcid":false,"given":"Xinghua","family":"Xue","sequence":"first","affiliation":[{"name":"State Key Laboratory of Processors, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5542-7306","authenticated-orcid":false,"given":"Cheng","family":"Liu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Processors, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo","family":"Liu","sequence":"additional","affiliation":[{"name":"Beijing Institute of Control Engineering, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-0525-2952","authenticated-orcid":false,"given":"Haitong","family":"Huang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Processors, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5172-4736","authenticated-orcid":false,"given":"Ying","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Processors, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3415-3676","authenticated-orcid":false,"given":"Tao","family":"Luo","sequence":"additional","affiliation":[{"name":"Institute of High Performance Computing, A*STAR, Fusionopolis, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Zhang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Processors, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8082-4218","authenticated-orcid":false,"given":"Huawei","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Processors, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0874-814X","authenticated-orcid":false,"given":"Xiaowei","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Processors, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3144217"},{"key":"ref57","article-title":"CodeNet: Training large scale neural networks in presence of soft-errors","author":"dutta","year":"2019","journal-title":"arXiv 1903 01042"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3007787.3001165"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/IET-ICETA56553.2022.9971628"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3572848.3577496"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2019.8702382"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/DAC.2018.8465918"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.23919\/DATE54114.2022.9774635"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.23919\/DATE54114.2022.9774543"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TVLSI.2021.3089224"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2366231.2337200"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ATS47505.2019.000-8"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2742698"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/BigData55660.2022.10020972"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2020.2976475"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2023.3235803"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TNS.2018.2884460"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"200","DOI":"10.1147\/rd.62.0200","article-title":"The use of triple-modular redundancy to improve computer reliability","volume":"6","author":"lyons","year":"1962","journal-title":"IBM J Res Develop"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2023.05.009"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO50266.2020.00033"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysarc.2019.101689"},{"key":"ref45","article-title":"HarDNN: Feature map vulnerability evaluation in CNNs","author":"mahmoud","year":"2020","journal-title":"arXiv 2002 09786"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/DSN48987.2021.00041"},{"key":"ref47","first-page":"1","article-title":"Special session: Fault-tolerant deep learning: A hierarchical perspective","author":"liu","year":"2022","journal-title":"Proc IEEE VLSI Test Symp (VTS)"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.23919\/DATE54114.2022.9774711"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3126908.3126964"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3386263.3406938"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ISSRE52982.2021.00025"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ISPASS.2017.7975296"},{"key":"ref8","first-page":"69","article-title":"Soft errors’ impact on system reliability","volume":"49","author":"mastipuram","year":"2004","journal-title":"EDN"},{"key":"ref7","first-page":"35","article-title":"The effects of energy management on reliability in real-time embedded systems","author":"zhu","year":"2004","journal-title":"Proc IEEE\/ACM Int Conf Comput Aided Design (ICCAD)"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3195970.3195997"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2017.4241347"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IOLTS50870.2020.9159734"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/18.79957"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3316781.3317835"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/DAC.2018.8465842"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5838"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ISSRE5003.2020.00047"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054562"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3489517.3530531"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3174243.3174257"},{"key":"ref30","article-title":"Efficient sparse-Winograd convolutional neural networks","author":"liu","year":"2018","journal-title":"arXiv 1802 06367"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/DSN-W50199.2020.00014"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3178487.3178496"},{"key":"ref2","article-title":"Artificial intelligence safety and cybersecurity: A timeline of AI failures","author":"yampolskiy","year":"2016","journal-title":"arXiv 1610 07997"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-022-10138-z"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2019.2912894"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01218"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2022.3163177"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.3043449"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ASP-DAC47756.2020.9045324"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ITC44778.2020.9325249"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.23919\/DATE.2018.8342151"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/MDAT.2020.2971217"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/VTS52500.2021.9794253"},{"key":"ref22","article-title":"ApproxABFT: Approximate algorithm-based fault tolerance for vision transformers","author":"xue","year":"2023","journal-title":"arXiv 2302 10469"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3458817.3476184"},{"key":"ref65","first-page":"10","article-title":"Computing’s energy problem (and what we can do about it)","author":"horowitz","year":"2014","journal-title":"IEEE Int Solid-State Circuits Conf (ISSCC) Dig Tech Papers"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.435"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3460288"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/FCCM.2017.64"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/ASAP.2019.00-23"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1145\/3477007"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2017.2664143"}],"container-title":["IEEE Transactions on Very Large Scale Integration (VLSI) Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/92\/10287007\/10238441.pdf?arnumber=10238441","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,6]],"date-time":"2023-11-06T20:05:17Z","timestamp":1699301117000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10238441\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11]]},"references-count":65,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tvlsi.2023.3306894","relation":{},"ISSN":["1063-8210","1557-9999"],"issn-type":[{"value":"1063-8210","type":"print"},{"value":"1557-9999","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11]]}}}