{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T18:36:09Z","timestamp":1775154969902,"version":"3.50.1"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"Korean Government","doi-asserted-by":"publisher","award":["RS-2022-00165648"],"award-info":[{"award-number":["RS-2022-00165648"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002496","name":"2022 Hongik University Research Fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002496","id-type":"DOI","asserted-by":"publisher"}]},{"name":"BrainLink Program"},{"DOI":"10.13039\/501100014188","name":"Ministry of Science and ICT through the National Research Foundation of Korea","doi-asserted-by":"publisher","award":["RS-2023-00237308"],"award-info":[{"award-number":["RS-2023-00237308"]}],"id":[{"id":"10.13039\/501100014188","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2023.3299862","type":"journal-article","created":{"date-parts":[[2023,7,28]],"date-time":"2023-07-28T17:35:24Z","timestamp":1690565724000},"page":"78713-78725","source":"Crossref","is-referenced-by-count":8,"title":["Defending Against Adversarial Fingerprint Attacks Based on Deep Image Prior"],"prefix":"10.1109","volume":"11","author":[{"given":"Hwajung","family":"Yoo","sequence":"first","affiliation":[{"name":"Department of Computer Engineering, Hongik University, Seoul, Republic of Korea"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-8138-798X","authenticated-orcid":false,"given":"Pyo Min","family":"Hong","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Hongik University, Seoul, Republic of Korea"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-9974-1279","authenticated-orcid":false,"given":"Taeyong","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Hongik University, Seoul, Republic of Korea"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-9774-2440","authenticated-orcid":false,"given":"Jung Won","family":"Yoon","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Hongik University, Seoul, Republic of Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4569-2640","authenticated-orcid":false,"given":"Youn Kyu","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Hongik University, Seoul, Republic of Korea"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3105238"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-1465-4_51"},{"key":"ref12","article-title":"Adversarial examples in modern machine learning: A review","author":"reza wiyatno","year":"2019","journal-title":"arXiv 1911 05268"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.108249"},{"key":"ref15","article-title":"Countering adversarial images using input transformations","author":"guo","year":"2017","journal-title":"arXiv 1711 00117"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/BTAS.2015.7358776"},{"key":"ref14","article-title":"Mitigating adversarial effects through randomization","author":"xie","year":"2017","journal-title":"arXiv 1711 01991"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICTC55196.2022.9952772"},{"key":"ref31","article-title":"Towards deep learning models resistant to adversarial attacks","author":"madry","year":"2017","journal-title":"arXiv 1706 06083"},{"key":"ref30","article-title":"Explaining and harnessing adversarial examples","author":"goodfellow","year":"2014","journal-title":"arXiv 1412 6572"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICOIN50884.2021.9333904"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00894"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-68780-9_42"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.282"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.20517\/jsss.2021.07"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2807385"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00681"},{"key":"ref39","article-title":"Deep decoder: Concise image representations from untrained non-convolutional networks","author":"heckel","year":"2018","journal-title":"arXiv 1810 03982"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3450267.3450535"},{"key":"ref38","first-page":"4149","article-title":"Compressive sensing with un-trained neural networks: Gradient descent finds a smooth approximation","author":"heckel","year":"2020","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.811"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00191"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126278"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.14569\/IJACSA.2020.0110102"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.366"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/55\/18\/009"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2839891"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2662206"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3092582"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00196"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.5201\/ipol.2011.bcm_nlm"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2007.901238"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.38"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/LSENS.2021.3135433"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00207"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s40747-021-00428-4"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2020.07.025"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00984"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3376897.3377856"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00103"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00790"},{"key":"ref4","article-title":"Intriguing properties of neural networks","author":"szegedy","year":"2013","journal-title":"arXiv 1312 6199"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1186\/s13640-020-0490-z"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/app11188450"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107332"},{"key":"ref40","first-page":"1521","article-title":"Fingerprint classification using deep neural network model RESNET50","volume":"5","author":"nahar","year":"2018","journal-title":"Int J Res Anal Rev"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10196440.pdf?arnumber=10196440","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,21]],"date-time":"2023-08-21T18:00:46Z","timestamp":1692640846000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10196440\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3299862","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}