{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T10:45:31Z","timestamp":1770288331013,"version":"3.49.0"},"reference-count":50,"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\/4.0\/legalcode"}],"funder":[{"name":"Institute of Information and Communications Technology Planning and Evaluation","award":["2022-0-00411"],"award-info":[{"award-number":["2022-0-00411"]}]},{"name":"Institute of Information and Communications Technology Planning and Evaluation","award":["IITP-2023-2021-0-01810"],"award-info":[{"award-number":["IITP-2023-2021-0-01810"]}]},{"name":"Institute of Information and Communications Technology Planning and Evaluation","award":["IITP-2023-2020-0-01819"],"award-info":[{"award-number":["IITP-2023-2020-0-01819"]}]},{"DOI":"10.13039\/501100001321","name":"National Research Foundation Grant funded by the Korea Government","doi-asserted-by":"publisher","award":["NRF-2021R1A6A1A13044830"],"award-info":[{"award-number":["NRF-2021R1A6A1A13044830"]}],"id":[{"id":"10.13039\/501100001321","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.2023.3295699","type":"journal-article","created":{"date-parts":[[2023,7,14]],"date-time":"2023-07-14T17:42:14Z","timestamp":1689356534000},"page":"72836-72847","source":"Crossref","is-referenced-by-count":4,"title":["Toward Practical Deep Blind Watermarking for Traitor Tracing"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-1914-3462","authenticated-orcid":false,"given":"Bosung","family":"Yang","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Korea University, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-5274-8135","authenticated-orcid":false,"given":"Gyeongsup","family":"Lim","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Korea University, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4823-4194","authenticated-orcid":false,"given":"Junbeom","family":"Hur","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Korea University, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-016-4055-1"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3251737"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2796585"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3201019"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2008.923825"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/83.777088"},{"key":"ref17","article-title":"Explaining and harnessing adversarial examples","author":"goodfellow","year":"2014","journal-title":"arXiv 1412 6572"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICACT.2008.4494159"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.17"},{"key":"ref18","article-title":"Intriguing properties of neural networks","author":"szegedy","year":"2013","journal-title":"arXiv 1312 6199"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/591"},{"key":"ref46","year":"2023","journal-title":"Manatoki"},{"key":"ref45","year":"2023","journal-title":"Newtoki"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref47","year":"2023","journal-title":"Hoducomics"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1049\/el:20080522"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1613\/jair.614"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(02)00289-3"},{"key":"ref49","first-page":"3358","article-title":"Adversarial training for free!","volume":"32","author":"shafahi","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCAIE.2010.5735066"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s00145-001-0006-7"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.jksuci.2016.12.004"},{"key":"ref4","year":"2020","journal-title":"Industry White Paper"},{"key":"ref3","author":"blackburn","year":"2019","journal-title":"Impacts of digital video piracy on the US Economy"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/18.705568"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-018-7128-5"},{"key":"ref40","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2852771"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3390\/math8091394"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548049"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475324"},{"key":"ref31","first-page":"10223","article-title":"UDH: Universal deep hiding for steganography, watermarking, and light field messaging","volume":"33","author":"zhang","year":"2020","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref30","first-page":"5158","author":"zhang","year":"2021","journal-title":"Towards Robust Deep Hiding Under Non-Differentiable Distortions for Practical Blind Watermarking"},{"key":"ref33","article-title":"A robust blind watermarking using convolutional neural network","author":"mun","year":"2017","journal-title":"arXiv 1704 03248"},{"key":"ref32","first-page":"1951","article-title":"Generating steganographic images via adversarial training","volume":"30","author":"hayes","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref2","year":"2020","journal-title":"Section 512 of Title 17 a Report of the Register of Copyrights"},{"key":"ref1","year":"2019","journal-title":"Intellectual Property and Youth Scoreboard"},{"key":"ref39","first-page":"740","article-title":"Microsoft COCO: Common objects in context","author":"lin","year":"2014","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref38","first-page":"8024","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01356"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/S0019-9958(60)90287-4"},{"key":"ref26","article-title":"ReDMark: Framework for residual diffusion watermarking on deep networks","author":"ahmadi","year":"2018","journal-title":"arXiv 1810 07248"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00219"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01267-0_40"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1962.1057683"},{"key":"ref21","first-page":"2204","article-title":"Feature analysis and detection techniques for piracy sites","volume":"14","author":"choi","year":"2020","journal-title":"KSII Trans Internet Inf Syst"},{"key":"ref28","article-title":"SteganoGAN: High capacity image steganography with GANs","author":"zhang","year":"2019","journal-title":"arXiv 1901 03892"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00161"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3351025"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10184014.pdf?arnumber=10184014","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,7]],"date-time":"2023-08-07T18:22:48Z","timestamp":1691432568000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10184014\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":50,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3295699","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}