{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T06:44:48Z","timestamp":1772779488892,"version":"3.50.1"},"reference-count":70,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Vinnova Advanced and Innovative Digitalization Project","award":["2023-01904"],"award-info":[{"award-number":["2023-01904"]}]},{"DOI":"10.13039\/501100004787","name":"Swedish Research Council","doi-asserted-by":"publisher","award":["2024-05652"],"award-info":[{"award-number":["2024-05652"]}],"id":[{"id":"10.13039\/501100004787","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tgrs.2025.3614488","type":"journal-article","created":{"date-parts":[[2025,10,6]],"date-time":"2025-10-06T17:36:37Z","timestamp":1759772197000},"page":"1-16","source":"Crossref","is-referenced-by-count":1,"title":["On the Adversarial Vulnerabilities of Transfer Learning in Remote Sensing"],"prefix":"10.1109","volume":"63","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2034-8026","authenticated-orcid":false,"given":"Tao","family":"Bai","sequence":"first","affiliation":[{"name":"School of Electrical and Electronic Engineering, Nanyang Technological University, Jurong West, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-5462-8107","authenticated-orcid":false,"given":"Xingjian","family":"Tian","sequence":"additional","affiliation":[{"name":"School of Electrical and Electronic Engineering, Nanyang Technological University, Jurong West, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6857-0152","authenticated-orcid":false,"given":"Yonghao","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering (ISY), Computer Vision Laboratory (CVL), Link&#x00F6;ping University, Link&#x00F6;ping, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6874-6453","authenticated-orcid":false,"given":"Bihan","family":"Wen","sequence":"additional","affiliation":[{"name":"School of Electrical and Electronic Engineering, Nanyang Technological University, Jurong West, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/SPIN60856.2024.10511460"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3206085"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2719738"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2953754"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2023.113924"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.9906"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2984703"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1080\/1206212X.2023.2219117"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2021.3130940"},{"key":"ref10","article-title":"Towards deep learning models resistant to adversarial attacks","author":"Madry","year":"2017","journal-title":"arXiv:1706.06083"},{"key":"ref11","article-title":"Explaining and harnessing adversarial examples","author":"Goodfellow","year":"2014","journal-title":"arXiv:1412.6572"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.49"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2023.3272825"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/rs14225833"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2024.3377009"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3156392"},{"key":"ref17","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3222818"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3109061"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00277"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3390\/rs71114680"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2015.2499239"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/MIGARS57353.2023.10064595"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICBASE53849.2021.00041"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.07.001"},{"key":"ref30","article-title":"Land use classification in remote sensing images by convolutional neural networks","author":"Castelluccio","year":"2015","journal-title":"arXiv:1508.00092"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3003914"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2868851"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3173676"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2964679"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/jstars.2024.3401772"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2025.3541952"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3390\/rs17020179"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2022.3194732"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3362475"},{"key":"ref40","article-title":"Intriguing properties of neural networks","author":"Szegedy","year":"2013","journal-title":"arXiv:1312.6199"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3138338"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3052973.3053009"},{"key":"ref43","article-title":"Query efficient decision based sparse attacks against black-box deep learning models","author":"Quoc Vo","year":"2022","journal-title":"arXiv:2202.00091"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.172"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00847"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3274895.3274904"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2999962"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3051641"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2023.3336734"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.3390\/rs13204078"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2025.3584347"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3122170"},{"key":"ref53","article-title":"Boosting adversarial transferability for hyperspectral image classification using 3D structure-invariant transformation and weighted intermediate feature divergence","author":"Liu","year":"2025","journal-title":"arXiv:2506.10459"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995743"},{"key":"ref55","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"Ioffe","year":"2015","journal-title":"arXiv:1502.03167"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/1869790.1869829"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2685945"},{"key":"ref58","article-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020","journal-title":"arXiv:2010.11929"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2024.3443403"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00140"},{"key":"ref62","first-page":"6105","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Tan"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1127\/1432-8364\/2010\/0041"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref65","article-title":"Rethinking atrous convolution for semantic image segmentation","author":"Chen","year":"2017","journal-title":"arXiv:1706.05587"},{"key":"ref66","first-page":"17864","article-title":"Per-pixel classification is not all you need for semantic segmentation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Cheng"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2015.7351502"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/36\/10807682\/11185332.pdf?arnumber=11185332","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T18:44:00Z","timestamp":1763059440000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11185332\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":70,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2025.3614488","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}