{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T15:33:58Z","timestamp":1782833638110,"version":"3.54.5"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"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":["92067104"],"award-info":[{"award-number":["92067104"]}],"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":["U1936115"],"award-info":[{"award-number":["U1936115"]}],"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":["62072055"],"award-info":[{"award-number":["62072055"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. Video Technol."],"published-print":{"date-parts":[[2022,9]]},"DOI":"10.1109\/tcsvt.2022.3161419","type":"journal-article","created":{"date-parts":[[2022,3,22]],"date-time":"2022-03-22T19:50:37Z","timestamp":1647978637000},"page":"5817-5829","source":"Crossref","is-referenced-by-count":76,"title":["A Robust Coverless Steganography Based on Generative Adversarial Networks and Gradient Descent Approximation"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8053-4587","authenticated-orcid":false,"given":"Fei","family":"Peng","sequence":"first","affiliation":[{"name":"Institute of Artificial Intelligence and Blockchain, Guangzhou University, Guangzhou, Guangdong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guanfu","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Electronic Engineering, Hunan University, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min","family":"Long","sequence":"additional","affiliation":[{"name":"School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2006.870357"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2896270"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.3001122"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2881118"},{"issue":"5","key":"ref5","first-page":"527","article-title":"Coverless information hiding based on bag-of-words model of image","volume":"34","author":"Zhou","year":"2016","journal-title":"J. Appl. Sci. Electron. Inf. Eng."},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-27051-7_11"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-63315-2_47"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3108772"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.3033945"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2838334"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2371246"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-014-1045-z"},{"key":"ref13","article-title":"NICE: Non-linear independent components estimation","volume-title":"Proc. Int. Conf. Learn. Represent. Workshop","author":"Dinh"},{"key":"ref14","first-page":"573","article-title":"Invertible residual networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Behrmann"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1117\/12.2559429"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-77380-3_51"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1117\/12.2083479"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2017.2745572"},{"key":"ref19","article-title":"Spatial image steganography based on generative adversarial network","author":"Yang","year":"2018","journal-title":"arXiv:1804.07939"},{"key":"ref20","first-page":"2069","article-title":"Hiding images in plain sight: Deep steganography","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Baluja"},{"key":"ref21","first-page":"1","article-title":"End-to-end trained CNN encoder-decoder networks for image steganography","volume-title":"Proc. Eur. Conf. Comput. Vis. (ECCV)","author":"Rahim"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-018-6951-z"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2891247"},{"key":"ref24","article-title":"SteganoGAN: High capacity image steganography with GANs","author":"Alex Zhang","year":"2019","journal-title":"arXiv:1901.03892"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01267-0_40"},{"key":"ref26","article-title":"Coverless information hiding based on generative adversarial networks","author":"Liu","year":"2017","journal-title":"arXiv:1712.06951"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.26599\/TST.2019.9010027"},{"issue":"3","key":"ref28","first-page":"48","article-title":"An intelligent search method of mapping relation for coverless information hiding","volume":"5","author":"Yaning","year":"2020","journal-title":"J. Cyber Secur."},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2852771"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-8083-3_34"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3297156.3297255"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2920313"},{"key":"ref33","first-page":"2672","article-title":"Generative adversarial nets","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"27","author":"Goodfellow"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref35","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"Radford","year":"2015","journal-title":"arXiv:1511.06434"},{"key":"ref36","article-title":"Wasserstein GAN","author":"Arjovsky","year":"2017","journal-title":"arXiv:1701.07875"},{"key":"ref37","first-page":"5767","article-title":"Improved training of Wasserstein GANs","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Gulrajani"},{"key":"ref38","first-page":"7354","article-title":"Self-attention generative adversarial networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zhang"},{"key":"ref39","article-title":"Large scale GAN training for high fidelity natural image synthesis","volume-title":"arXiv:1809.11096","author":"Brock","year":"2018"},{"key":"ref40","article-title":"Progressive growing of GANs for improved quality, stability, and variation","author":"Karras","year":"2017","journal-title":"arXiv:1710.10196"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"ref42","article-title":"BEGAN: Boundary equilibrium generative adversarial networks","author":"Berthelot","year":"2017","journal-title":"arXiv:1703.10717"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2548421"},{"key":"ref44","first-page":"2545","article-title":"Deep learning hierarchical representations for image steganalysis","volume":"12 no","author":"Ni","year":"2017","journal-title":"IEEE Trans. Inf. Forensics Security"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-97749-2_9"},{"key":"ref46","first-page":"6629","article-title":"GANs trained by a two time-scale update rule converge to a local Nash equilibrium","volume-title":"Proc. Conf. Neural Inf. Process. Syst.","author":"Heusel"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/0047-259X(82)90077-X"}],"container-title":["IEEE Transactions on Circuits and Systems for Video Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/76\/9875133\/09739773.pdf?arnumber=9739773","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T00:04:04Z","timestamp":1705536244000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9739773\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9]]},"references-count":47,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tcsvt.2022.3161419","relation":{},"ISSN":["1051-8215","1558-2205"],"issn-type":[{"value":"1051-8215","type":"print"},{"value":"1558-2205","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,9]]}}}