{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T20:18:10Z","timestamp":1768508290327,"version":"3.49.0"},"publisher-location":"Singapore","reference-count":28,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819556786","type":"print"},{"value":"9789819556793","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-981-95-5679-3_20","type":"book-chapter","created":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T18:36:36Z","timestamp":1768329396000},"page":"285-299","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multi-source Domain Adaptation Image Steganalysis for\u00a0Cover Source Mismatch"],"prefix":"10.1007","author":[{"given":"Manyu","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinjue","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xu","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhangjie","family":"Fu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,1,14]]},"reference":[{"key":"20_CR1","doi-asserted-by":"crossref","unstructured":"Bas, P., Filler, T., Pevn\u1ef3, T.: break our steganographic system: the ins and outs of organizing boss. In: International workshop on information hiding, pp. 59\u201370. Springer (2011)","DOI":"10.1007\/978-3-642-24178-9_5"},{"issue":"5","key":"20_CR2","doi-asserted-by":"publisher","first-page":"1181","DOI":"10.1109\/TIFS.2018.2871749","volume":"14","author":"M Boroumand","year":"2018","unstructured":"Boroumand, M., Chen, M., Fridrich, J.: Deep residual network for steganalysis of digital images. IEEE Trans. Inf. Forensics Secur. 14(5), 1181\u20131193 (2018)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"20_CR3","doi-asserted-by":"crossref","unstructured":"Cogranne, R., Giboulot, \u00c9., Bas, P.: Alaska# 2: Challenging academic research on steganalysis with realistic images. In: 2020 IEEE International Workshop on Information Forensics and Security (WIFS), pp.\u00a01\u20135. IEEE (2020)","DOI":"10.1109\/WIFS49906.2020.9360896"},{"key":"20_CR4","doi-asserted-by":"crossref","unstructured":"Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: Imagenet: A large-scale hierarchical image database. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp. 248\u2013255. IEEE (2009)","DOI":"10.1109\/CVPR.2009.5206848"},{"issue":"3","key":"20_CR5","doi-asserted-by":"publisher","first-page":"868","DOI":"10.1109\/TIFS.2012.2190402","volume":"7","author":"J Fridrich","year":"2012","unstructured":"Fridrich, J., Kodovsky, J.: Rich models for steganalysis of digital images. IEEE Trans. Inf. Forensics Secur. 7(3), 868\u2013882 (2012)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"issue":"1","key":"20_CR6","first-page":"723","volume":"13","author":"A Gretton","year":"2012","unstructured":"Gretton, A., Borgwardt, K.M., Rasch, M.J., Sch\u00f6lkopf, B., Smola, A.: A kernel two-sample test. J. Mach. Learn. Res. 13(1), 723\u2013773 (2012)","journal-title":"J. Mach. Learn. Res."},{"key":"20_CR7","doi-asserted-by":"crossref","unstructured":"Holub, V., Fridrich, J.: Designing steganographic distortion using directional filters. In: 2012 IEEE International Workshop on Information Forensics and Security (WIFS), pp. 234\u2013239. IEEE (2012)","DOI":"10.1109\/WIFS.2012.6412655"},{"issue":"2","key":"20_CR8","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1109\/TIFS.2014.2364918","volume":"10","author":"V Holub","year":"2014","unstructured":"Holub, V., Fridrich, J.: Low-complexity features for jpeg steganalysis using undecimated DCT. IEEE Trans. Inf. Forensics Secur. 10(2), 219\u2013228 (2014)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"issue":"1","key":"20_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1687-417X-2014-1","volume":"2014","author":"V Holub","year":"2014","unstructured":"Holub, V., Fridrich, J., Denemark, T.: Universal distortion function for steganography in an arbitrary domain. EURASIP J. Inf. Secur. 2014(1), 1\u201313 (2014). https:\/\/doi.org\/10.1186\/1687-417X-2014-1","journal-title":"EURASIP J. Inf. Secur."},{"key":"20_CR10","doi-asserted-by":"crossref","unstructured":"Huiskes, M.J., Lew, M.S.: The mir flickr retrieval evaluation. In: Proceedings of the 1st ACM International Conference on Multimedia Information Retrieval, pp. 39\u201343 (2008)","DOI":"10.1145\/1460096.1460104"},{"key":"20_CR11","doi-asserted-by":"crossref","unstructured":"Jindal, N., Liu, B.: Review spam detection. In: Proceedings of the 16th International Conference on World Wide Web, pp. 1189\u20131190 (2007)","DOI":"10.1145\/1242572.1242759"},{"key":"20_CR12","doi-asserted-by":"crossref","unstructured":"Kodovsk\u1ef3, J., Fridrich, J.: Steganalysis of jpeg images using rich models. In: Media Watermarking, Security, and Forensics 2012. vol.\u00a08303, pp. 81\u201393. SPIE (2012)","DOI":"10.1117\/12.907495"},{"key":"20_CR13","doi-asserted-by":"crossref","unstructured":"Kodovsk\u1ef3, J., Sedighi, V., Fridrich, J.: Study of cover source mismatch in steganalysis and ways to mitigate its impact. In: Media watermarking, security, and forensics 2014. vol.\u00a09028, pp. 204\u2013215. SPIE (2014)","DOI":"10.1117\/12.2039693"},{"key":"20_CR14","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1016\/j.engappai.2015.12.013","volume":"50","author":"D Lerch-Hostalot","year":"2016","unstructured":"Lerch-Hostalot, D., Meg\u00edas, D.: Unsupervised steganalysis based on artificial training sets. Eng. Appl. Artif. Intell. 50, 45\u201359 (2016)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"20_CR15","unstructured":"Long, M., Zhu, H., Wang, J., Jordan, M.I.: Deep transfer learning with joint adaptation networks. In: International Conference on Machine Learning, pp. 2208\u20132217. PMLR (2017)"},{"issue":"2","key":"20_CR16","doi-asserted-by":"publisher","first-page":"1403","DOI":"10.1109\/TDSC.2022.3154967","volume":"20","author":"D Meg\u00edas","year":"2022","unstructured":"Meg\u00edas, D., Lerch-Hostalot, D.: Subsequent embedding in targeted image steganalysis: Theoretical framework and practical applications. IEEE Trans. Dependable Secure Comput. 20(2), 1403\u20131421 (2022)","journal-title":"IEEE Trans. Dependable Secure Comput."},{"issue":"5","key":"20_CR17","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1109\/LSP.2006.870357","volume":"13","author":"J Mielikainen","year":"2006","unstructured":"Mielikainen, J.: Lsb matching revisited. IEEE Signal Process. Lett. 13(5), 285\u2013287 (2006)","journal-title":"IEEE Signal Process. Lett."},{"key":"20_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1007\/978-3-642-16435-4_13","volume-title":"Information Hiding","author":"T Pevn\u00fd","year":"2010","unstructured":"Pevn\u00fd, T., Filler, T., Bas, P.: Using high-dimensional image models to perform highly undetectable steganography. In: B\u00f6hme, R., Fong, P.W.L., Safavi-Naini, R. (eds.) IH 2010. LNCS, vol. 6387, pp. 161\u2013177. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-16435-4_13"},{"issue":"2","key":"20_CR19","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1109\/TIFS.2015.2486744","volume":"11","author":"V Sedighi","year":"2015","unstructured":"Sedighi, V., Cogranne, R., Fridrich, J.: Content-adaptive steganography by minimizing statistical detectability. IEEE Trans. Inf. Forensics Secur. 11(2), 221\u2013234 (2015)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"20_CR20","doi-asserted-by":"crossref","unstructured":"Weng, S., Zhang, Z., Yu, L., Cao, P., Cao, G.: Universal mismatched steganalysis equipped with progressive intermediate domains. IEEE Signal Processing Letters (2024)","DOI":"10.1109\/LSP.2024.3374601"},{"key":"20_CR21","doi-asserted-by":"crossref","unstructured":"Woo, S., Park, J., Lee, J.Y., Kweon, I.S.: Cbam: Convolutional block attention module. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 3\u201319 (2018)","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"20_CR22","doi-asserted-by":"crossref","unstructured":"Yedroudj, M., Comby, F., Chaumont, M.: Yedroudj-net: An efficient CNN for spatial steganalysis. In: 2018 IEEE international conference on acoustics, speech and signal processing (ICASSP), pp. 2092\u20132096. IEEE (2018)","DOI":"10.1109\/ICASSP.2018.8461438"},{"key":"20_CR23","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1109\/TIFS.2020.3013204","volume":"16","author":"W You","year":"2020","unstructured":"You, W., Zhang, H., Zhao, X.: A Siamese Cnn for image steganalysis. IEEE Trans. Inf. Forensics Secur. 16, 291\u2013306 (2020)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"20_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121543","volume":"237","author":"L Yu","year":"2024","unstructured":"Yu, L., Weng, S., Chen, M., Wei, Y.: Rcdd: Contrastive domain discrepancy with reliable steganalysis labeling for cover source mismatch. Expert Syst. Appl. 237, 121543 (2024)","journal-title":"Expert Syst. Appl."},{"issue":"2","key":"20_CR25","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1007\/s11235-022-00901-6","volume":"80","author":"L Zhang","year":"2022","unstructured":"Zhang, L., Abdullahi, S.M., He, P., Wang, H.: Dataset mismatched steganalysis using subdomain adaptation with guiding feature. Telecommun. Syst. 80(2), 263\u2013276 (2022)","journal-title":"Telecommun. Syst."},{"key":"20_CR26","doi-asserted-by":"publisher","first-page":"1138","DOI":"10.1109\/TIFS.2019.2936913","volume":"15","author":"R Zhang","year":"2019","unstructured":"Zhang, R., Zhu, F., Liu, J., Liu, G.: Depth-wise separable convolutions and multi-level pooling for an efficient spatial CNN-based steganalysis. IEEE Trans. Inf. Forensics Secur. 15, 1138\u20131150 (2019)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"20_CR27","doi-asserted-by":"crossref","unstructured":"Zhang, X., Kong, X., Wang, P., Wang, B.: Cover-source mismatch in deep spatial steganalysis. In: International Workshop on Digital Watermarking, pp. 71\u201383. Springer (2019)","DOI":"10.1007\/978-3-030-43575-2_6"},{"issue":"4","key":"20_CR28","doi-asserted-by":"publisher","first-page":"516","DOI":"10.26599\/TST.2019.9010027","volume":"25","author":"Z Zhang","year":"2020","unstructured":"Zhang, Z., Fu, G., Ni, R., Liu, J., Yang, X.: A generative method for steganography by cover synthesis with auxiliary semantics. Tsinghua Sci. Technol. 25(4), 516\u2013527 (2020)","journal-title":"Tsinghua Sci. Technol."}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-5679-3_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T18:36:39Z","timestamp":1768329399000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-5679-3_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819556786","9789819556793"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-5679-3_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"14 January 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chinese Conference on Pattern Recognition and Computer Vision  (PRCV)","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shanghai","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 October 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 October 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccprcv2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2025.prcv.cn\/index.asp","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}