{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T09:15:45Z","timestamp":1780391745999,"version":"3.54.1"},"reference-count":64,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","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:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"CAAI-Huawei Mindspore Open Fund"},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62001016"],"award-info":[{"award-number":["62001016"]}],"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":["61876013"],"award-info":[{"award-number":["61876013"]}],"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":["61922009"],"award-info":[{"award-number":["61922009"]}],"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":["62172025"],"award-info":[{"award-number":["62172025"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"publisher","award":["JQ20020"],"award-info":[{"award-number":["JQ20020"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2023,1,1]]},"DOI":"10.1109\/tpami.2022.3141725","type":"journal-article","created":{"date-parts":[[2022,1,10]],"date-time":"2022-01-10T21:03:38Z","timestamp":1641848618000},"page":"372-390","source":"Crossref","is-referenced-by-count":221,"title":["DeepMIH: Deep Invertible Network for Multiple Image Hiding"],"prefix":"10.1109","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3959-338X","authenticated-orcid":false,"given":"Zhenyu","family":"Guan","sequence":"first","affiliation":[{"name":"School of Cyber Science and Technology, Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5669-8573","authenticated-orcid":false,"given":"Junpeng","family":"Jing","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Technology, Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4708-6572","authenticated-orcid":false,"given":"Xin","family":"Deng","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Technology, Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0277-3301","authenticated-orcid":false,"given":"Mai","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lai","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhou","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Technology, Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9099-4077","authenticated-orcid":false,"given":"Yipeng","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Automation, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/11922841_6"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2006.870357"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01267-0_40"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532860"},{"key":"ref31","article-title":"Wasserstein GAN","author":"arjovsky","year":"2017"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-015-2708-0"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1049\/ip-vis:20059022"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01356"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00219"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.113157"},{"key":"ref60","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2019.2936913"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2018.2871749"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.3013204"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.5120\/4604-6808"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.31614\/cmes.2018.04765"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11018-5\\_64"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/2037252.2037267"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-4375-6"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/49.668971"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1117\/12.2559429"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2017.2745572"},{"key":"ref21","first-page":"534","article-title":"SSGAN: Secure steganography based on generative adversarial networks","author":"shi","year":"2017","journal-title":"Proc Pacific Rim Conf Multimedia"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3323873.3325011"},{"key":"ref23","article-title":"SteganoGAN: High capacity image steganography with GANs","author":"zhang","year":"2019"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01067"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2901877"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/93.959097"},{"key":"ref59","first-page":"740","article-title":"Microsoft COCO: Common objects in context","author":"lin","year":"2014","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.150"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref56","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2913372"},{"key":"ref53","first-page":"63","article-title":"ESRGAN: Enhanced super-resolution generative adversarial networks","author":"wang","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/34.192463"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCNIT.2011.6020921"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.1996.560428"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-014-2381-8"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1109\/83.736686","article-title":"Hidden digital watermarks in images","volume":"8","author":"hsu","year":"1999","journal-title":"IEEE Trans Image Process"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/83.918570"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1186\/1687-417X-2014-1"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/WIFS.2012.6412655"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-16435-4_13"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2013.2286682"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1117\/12.2044803"},{"key":"ref19","first-page":"1954","article-title":"Generating steganographic images via adversarial training","author":"hayes","year":"2017","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1117\/12.465313"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MC.1998.4655281"},{"key":"ref6","first-page":"1","article-title":"An overview of image steganography","author":"morkel","year":"2005","journal-title":"Proc 5th Annu Inf Secur South Africa Conf"},{"key":"ref5","article-title":"An overview of steganography","author":"dickman","year":"2007","journal-title":"Tech Rep JMU-INFOSEC-TR-2007&#x2013;002"},{"key":"ref8","article-title":"Multi-image steganography using deep neural networks","author":"das","year":"2021"},{"key":"ref7","first-page":"2069","article-title":"Hiding images in plain sight: Deep steganography","author":"baluja","year":"2017","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01316"},{"key":"ref9","first-page":"18","article-title":"Hiding an image inside another image using variable-rate steganography","volume":"4","author":"tamimi","year":"2013","journal-title":"Int J Adv Comput Sci Appl"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_8"},{"key":"ref45","article-title":"Guided image generation with conditional invertible neural networks","author":"ardizzone","year":"2019"},{"key":"ref48","article-title":"Modeling lost information in lossy image compression","author":"wang","year":"2020"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58558-7_42"},{"key":"ref42","article-title":"Density estimation using real NVP","author":"dinh","year":"2017","journal-title":"Proc 5th Int Conf Learn Representations"},{"key":"ref41","article-title":"NICE: Non-linear independent components estimation","author":"dinh","year":"2015"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00485"},{"key":"ref43","first-page":"10236","article-title":"Glow: Generative flow with invertible 1x1 convolutions","author":"kingma","year":"2018"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/9970415\/09676416.pdf?arnumber=9676416","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,26]],"date-time":"2022-12-26T19:15:57Z","timestamp":1672082157000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9676416\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,1]]},"references-count":64,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2022.3141725","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1,1]]}}}