{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T17:56:37Z","timestamp":1785952597435,"version":"3.56.0"},"reference-count":84,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"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":["62076163"],"award-info":[{"award-number":["62076163"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82261138629"],"award-info":[{"award-number":["82261138629"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2023A1515010688"],"award-info":[{"award-number":["2023A1515010688"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shenzhen Fundamental Research","award":["JCYJ20190808163401646"],"award-info":[{"award-number":["JCYJ20190808163401646"]}]},{"name":"Shenzhen Fundamental Research","award":["JCYJ20220531101412030"],"award-info":[{"award-number":["JCYJ20220531101412030"]}]},{"name":"Shenzhen Science and Technology Program","award":["JSGG20220831093004008"],"award-info":[{"award-number":["JSGG20220831093004008"]}]},{"name":"Research Council of Norway through the Project \u201cSALT\u201d","award":["332266"],"award-info":[{"award-number":["332266"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2024,8]]},"DOI":"10.1109\/tnnls.2023.3243229","type":"journal-article","created":{"date-parts":[[2023,2,23]],"date-time":"2023-02-23T18:45:58Z","timestamp":1677177958000},"page":"10639-10650","source":"Crossref","is-referenced-by-count":6,"title":["Taming Self-Supervised Learning for Presentation Attack Detection: De-Folding and De-Mixing"],"prefix":"10.1109","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1078-3806","authenticated-orcid":false,"given":"Zhe","family":"Kong","sequence":"first","affiliation":[{"name":"College of Computer Science and Software Engineering and Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9107-4272","authenticated-orcid":false,"given":"Wentian","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Software Engineering and Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1493-5352","authenticated-orcid":false,"given":"Feng","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Computer Science and Software Engineering and Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5697-4168","authenticated-orcid":false,"given":"Wenhan","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1191-3529","authenticated-orcid":false,"given":"Haozhe","family":"Liu","sequence":"additional","affiliation":[{"name":"Norwegian University of Science and Technology (NTNU), Gjøvik, Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1420-0815","authenticated-orcid":false,"given":"Linlin","family":"Shen","sequence":"additional","affiliation":[{"name":"College of Computer Science and Software Engineering and Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0484-3956","authenticated-orcid":false,"given":"Raghavendra","family":"Ramachandra","sequence":"additional","affiliation":[{"name":"Norwegian Biometrics Laboratory (NBL), Norwegian University of Science and Technology, Gjøvik, Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3038924"},{"key":"ref2","article-title":"A survey on unknown presentation attack detection for fingerprint","author":"Singh","year":"2020","journal-title":"arXiv:2005.08337"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TBIOM.2020.3010312"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3081764"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3052341"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2395951"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00048"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/SMC.2018.00680"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.2990789"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2021.3102448"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICB45273.2019.8987415"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16434-7_63"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICB.2013.6612981"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICB.2013.6612955"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2016.2578288"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2630740"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2935608"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00851"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2016.2520880"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2018.2812193"},{"key":"ref22","first-page":"1","article-title":"A robust fingerprint presentation attack detection method against unseen attacks through adversarial learning","volume-title":"Proc. Int. Conf. Biometrics Special Interest Group (BIOSIG)","author":"Pereira"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2022.3197058"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3390\/s150614615"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58571-6_33"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6866"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00509"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3036338"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TBIOM.2021.3065526"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2021.3091167"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2021.3089908"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00409"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/177"},{"key":"ref34","article-title":"Benchmarking joint face spoofing and forgery detection with visual and physiological cues","author":"Yu","year":"2022","journal-title":"arXiv:2208.05401"},{"key":"ref35","article-title":"Rethinking few-shot class-incremental learning with open-set hypothesis in hyperbolic geometry","author":"Cui","year":"2022","journal-title":"arXiv:2207.09963"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00481"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.3013214"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00534"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475279"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00362"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20065-6_24"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2992393"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3028503"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2022.3160860"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3016291"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3068344"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_40"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.278"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.167"},{"key":"ref53","article-title":"Unsupervised representation learning by predicting image rotations","author":"Gidaris","year":"2018","journal-title":"arXiv:1803.07728"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref55","article-title":"Improved baselines with momentum contrastive learning","author":"Chen","year":"2020","journal-title":"arXiv:2003.04297"},{"key":"ref56","first-page":"1597","article-title":"A simple framework for contrastive learning of visual representations","volume-title":"Proc. ICML","author":"Chen"},{"key":"ref57","article-title":"Bootstrap your own latent: A new approach to self-supervised learning","author":"Grill","year":"2020","journal-title":"arXiv:2006.07733"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00671"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01964"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2022.03.001"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/tifs.2023.3235581"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ICB2018.2018.00052"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00125"},{"key":"ref64","first-page":"214","article-title":"Wasserstein generative adversarial networks","volume-title":"Proc. ICML","author":"Arjovsky"},{"key":"ref65","article-title":"Robust representation via dynamic feature aggregation","author":"Liu","year":"2022","journal-title":"arXiv:2205.07466"},{"key":"ref66","article-title":"Manifold-preserved GANs","author":"Liu","year":"2021","journal-title":"arXiv:2109.08955"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2017.77"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/ICB.2012.6199754"},{"key":"ref69","first-page":"1","article-title":"On the effectiveness of local binary patterns in face anti-spoofing","volume-title":"Proc. BIOSIG","author":"Chingovska"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2015.2400395"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2018.2801312"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2022.3178240"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2019.2916652"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/ICB45273.2019.8987370"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2603342"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref80","first-page":"1","article-title":"Face spoofing detection from single images using micro-texture analysis","volume-title":"Proc. IJCB","author":"M\u00e4\u00e4tt\u00e4"},{"key":"ref81","article-title":"Learn convolutional neural network for face anti-spoofing","author":"Yang","year":"2014","journal-title":"arXiv:1408.5601"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2016.2555286"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1186\/1687-5281-2014-2"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01026"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10623582\/10051654.pdf?arnumber=10051654","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,29]],"date-time":"2025-05-29T17:30:23Z","timestamp":1748539823000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10051654\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8]]},"references-count":84,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2023.3243229","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,8]]}}}