{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,6]],"date-time":"2025-11-06T06:09:43Z","timestamp":1762409383843,"version":"build-2065373602"},"reference-count":26,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":["62202234","62372128","62401270","U22B2062","62172232"],"award-info":[{"award-number":["62202234","62372128","62401270","U22B2062","62172232"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2023M741778"],"award-info":[{"award-number":["2023M741778"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2023A1515011575"],"award-info":[{"award-number":["2023A1515011575"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/lsp.2025.3624083","type":"journal-article","created":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T17:27:18Z","timestamp":1761154038000},"page":"4124-4128","source":"Crossref","is-referenced-by-count":0,"title":["Denoising Diffusion Probabilistic Steganography Based on Standardized Secret Noise"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0827-9443","authenticated-orcid":false,"given":"Xiang","family":"Zhang","sequence":"first","affiliation":[{"name":"Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-1546-2244","authenticated-orcid":false,"given":"Tianheng","family":"Song","sequence":"additional","affiliation":[{"name":"Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8053-4587","authenticated-orcid":false,"given":"Fei","family":"Peng","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Guangzhou University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1019-3884","authenticated-orcid":false,"given":"Ziwen","family":"He","sequence":"additional","affiliation":[{"name":"Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6874-2436","authenticated-orcid":false,"given":"Daoyong","family":"Fu","sequence":"additional","affiliation":[{"name":"Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bei","family":"Yuan","sequence":"additional","affiliation":[{"name":"Shenzhen Futian Basic Education Quality Monitoring Center, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4363-2521","authenticated-orcid":false,"given":"Zhangjie","family":"Fu","sequence":"additional","affiliation":[{"name":"Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3451620"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2021.3129419"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2022.3217444"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2024.3440176"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3374887"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3268843"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2024.3392690"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3612514"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3681635"},{"key":"ref10","first-page":"80730","article-title":"Cross: Diffusion model makes controllable, robust and secure image steganography","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"36","author":"Yu"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2024.3444311"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2025.3539832"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2025.122358"},{"key":"ref14","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Ho"},{"key":"ref15","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Radford","year":"2021"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"ref17","article-title":"Denoising diffusion implicit models","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Song","year":"2021"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2023.3330098"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1613\/jair.3994"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACSSC.2011.6190099"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2548421"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2017.2710946"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2019.2936913"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.3013204"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2018.2871749"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/97\/10802935\/11214241.pdf?arnumber=11214241","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,6]],"date-time":"2025-11-06T05:56:27Z","timestamp":1762408587000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11214241\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/lsp.2025.3624083","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"type":"print","value":"1070-9908"},{"type":"electronic","value":"1558-2361"}],"subject":[],"published":{"date-parts":[[2025]]}}}