{"id":"https://openalex.org/W4287120154","doi":"https://doi.org/10.1109/access.2023.3233976","title":"Deep Learning for Predictive Analytics in Reversible Steganography","display_name":"Deep Learning for Predictive Analytics in Reversible Steganography","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4287120154","doi":"https://doi.org/10.1109/access.2023.3233976"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3233976","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3233976","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10005178.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10005178.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014271344","display_name":"Ching\u2010Chun Chang","orcid":"https://orcid.org/0000-0001-7723-4591"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ching-Chun Chang","raw_affiliation_strings":["National Institute of Informatics, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100407800","display_name":"Xu Wang","orcid":"https://orcid.org/0000-0001-6705-4888"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]},{"id":"https://openalex.org/I4880106","display_name":"Feng Chia University","ror":"https://ror.org/05vhczg54","country_code":"TW","type":"education","lineage":["https://openalex.org/I4880106"]}],"countries":["CN","TW"],"is_corresponding":false,"raw_author_name":"Xu Wang","raw_affiliation_strings":["Department of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan","School of Information Science and Engineering, University of Jinan, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan","institution_ids":["https://openalex.org/I4880106"]},{"raw_affiliation_string":"School of Information Science and Engineering, University of Jinan, Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054005361","display_name":"Sisheng Chen","orcid":"https://orcid.org/0000-0002-3558-3002"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]},{"id":"https://openalex.org/I4880106","display_name":"Feng Chia University","ror":"https://ror.org/05vhczg54","country_code":"TW","type":"education","lineage":["https://openalex.org/I4880106"]}],"countries":["CN","TW"],"is_corresponding":false,"raw_author_name":"Sisheng Chen","raw_affiliation_strings":["Department of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan","School of Big Data and Artificial Intelligence, Fujian Polytechnic Normal University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan","institution_ids":["https://openalex.org/I4880106"]},{"raw_affiliation_string":"School of Big Data and Artificial Intelligence, Fujian Polytechnic Normal University, Fuzhou, China","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044556342","display_name":"Isao Echizen","orcid":"https://orcid.org/0000-0003-4908-1860"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Isao Echizen","raw_affiliation_strings":["National Institute of Informatics, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100634965","display_name":"V\u00edctor S\u00e1nchez","orcid":"https://orcid.org/0000-0002-7089-7031"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Victor Sanchez","raw_affiliation_strings":["Department of Computer Science, University of Warwick, Coventry, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Warwick, Coventry, U.K","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075200053","display_name":"Chang\u2010Tsun Li","orcid":"https://orcid.org/0000-0003-4735-6138"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chang-Tsun Li","raw_affiliation_strings":["School of Information Technology, Deakin University, Geelong, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University, Geelong, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5014271344"],"corresponding_institution_ids":["https://openalex.org/I184597095"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.5504,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.84593702,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"3494","last_page":"3510"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8465689420700073},{"id":"https://openalex.org/keywords/steganography","display_name":"Steganography","score":0.7758678197860718},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6247304677963257},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6197834610939026},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5955030918121338},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.476189523935318},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4365343153476715},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.43353360891342163},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.421131432056427},{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.41264480352401733},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35355812311172485},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1438683569431305}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8465689420700073},{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.7758678197860718},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6247304677963257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6197834610939026},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5955030918121338},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.476189523935318},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4365343153476715},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.43353360891342163},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.421131432056427},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.41264480352401733},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35355812311172485},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1438683569431305},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/access.2023.3233976","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3233976","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10005178.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2106.06924","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.06924","pdf_url":"https://arxiv.org/pdf/2106.06924","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:wrap.warwick.ac.uk:172943","is_oa":true,"landing_page_url":null,"pdf_url":"https://wrap.warwick.ac.uk/172943/1/WRAP-deep-learning-predictive-analytics-reversible-steganography-2023.pdf","source":{"id":"https://openalex.org/S4306400665","display_name":"Warwick Research Archive Portal (University of Warwick)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39555362","host_organization_name":"University of Warwick","host_organization_lineage":["https://openalex.org/I39555362"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:bfbd0bd400944a4b91b7e7610b025792","is_oa":true,"landing_page_url":"https://doaj.org/article/bfbd0bd400944a4b91b7e7610b025792","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 3494-3510 (2023)","raw_type":"article"},{"id":"pmh:oai:figshare.com:article/21914913","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Deep_Learning_for_Predictive_Analytics_in_Reversible_Steganography/21914913","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3233976","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3233976","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10005178.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1161291063","display_name":"\u9752\u5c11\u5e74\u306e\u898f\u7bc4\u610f\u8b58\u306e\u8abf\u67fb\u7814\u7a76","funder_award_id":"18023","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G1755812565","display_name":null,"funder_award_id":"Japan Science and Technology Agency","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G2244060857","display_name":null,"funder_award_id":"JPMJCR20D3","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G2521286739","display_name":null,"funder_award_id":"CREST","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"},{"id":"https://openalex.org/G2792802287","display_name":null,"funder_award_id":"KAKENHI","funder_id":"https://openalex.org/F4320338075","funder_display_name":"Core Research for Evolutional Science and Technology"},{"id":"https://openalex.org/G2867598600","display_name":null,"funder_award_id":"JP21H04907","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G3282004645","display_name":null,"funder_award_id":"JPMJCR","funder_id":"https://openalex.org/F4320338075","funder_display_name":"Core Research for Evolutional Science and Technology"},{"id":"https://openalex.org/G3408703873","display_name":null,"funder_award_id":"JP18H04120","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G3459562248","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G3582502417","display_name":null,"funder_award_id":"JPMJCR18A6","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G360976672","display_name":"Biometric Information Protection Utilization Infrastructure to Ensure Personal Convenience and Prevent Identity Theft","funder_award_id":"18H04120","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G3713529179","display_name":null,"funder_award_id":"JP20K23355","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4103450965","display_name":"Research on master biometric information protection and utilization platform","funder_award_id":"21H04907","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4470787049","display_name":null,"funder_award_id":"20K23355","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4611969921","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"},{"id":"https://openalex.org/G4864544293","display_name":null,"funder_award_id":"Japan","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"},{"id":"https://openalex.org/G4891994070","display_name":"Prevention from Automated Analysis Services with Object-Level Adversarial Examples","funder_award_id":"21K18023","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G5256887504","display_name":null,"funder_award_id":"Japan Society for the Promotion of Science (JSPS)","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6134789448","display_name":null,"funder_award_id":"JP16H06302","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6324769968","display_name":null,"funder_award_id":"JPMJCR18A6","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"},{"id":"https://openalex.org/G6362425154","display_name":null,"funder_award_id":"KAKENHI","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"},{"id":"https://openalex.org/G6718509927","display_name":null,"funder_award_id":"CREST","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6954941931","display_name":"Communication System for Defending against Attacks of Media Clones","funder_award_id":"16H06302","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G70156525","display_name":null,"funder_award_id":"JP16H0630","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G7485138276","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"},{"id":"https://openalex.org/G7752643416","display_name":null,"funder_award_id":"Japan","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G7840269759","display_name":null,"funder_award_id":"JP20K","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8315410620","display_name":null,"funder_award_id":"JPMJCR18A6","funder_id":"https://openalex.org/F4320338075","funder_display_name":"Core Research for Evolutional Science and Technology"},{"id":"https://openalex.org/G8405342414","display_name":null,"funder_award_id":"JPMJCR20D3","funder_id":"https://openalex.org/F4320338075","funder_display_name":"Core Research for Evolutional Science and Technology"},{"id":"https://openalex.org/G891032357","display_name":null,"funder_award_id":"JP21K18023","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8963049961","display_name":null,"funder_award_id":"JPMJCR20D3","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320334789","display_name":"Japan Science and Technology Agency","ror":"https://ror.org/00097mb19"},{"id":"https://openalex.org/F4320338075","display_name":"Core Research for Evolutional Science and Technology","ror":"https://ror.org/00097mb19"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4287120154.pdf","grobid_xml":"https://content.openalex.org/works/W4287120154.grobid-xml"},"referenced_works_count":70,"referenced_works":["https://openalex.org/W22271197","https://openalex.org/W59409398","https://openalex.org/W1686810756","https://openalex.org/W1945616565","https://openalex.org/W1973207880","https://openalex.org/W1974641035","https://openalex.org/W1995875735","https://openalex.org/W2001771035","https://openalex.org/W2012684236","https://openalex.org/W2031586513","https://openalex.org/W2035677848","https://openalex.org/W2045456727","https://openalex.org/W2046448991","https://openalex.org/W2096050104","https://openalex.org/W2106950225","https://openalex.org/W2114770744","https://openalex.org/W2115924904","https://openalex.org/W2116467012","https://openalex.org/W2117539524","https://openalex.org/W2118085659","https://openalex.org/W2123218196","https://openalex.org/W2133665775","https://openalex.org/W2135459805","https://openalex.org/W2144088652","https://openalex.org/W2166820261","https://openalex.org/W2167436768","https://openalex.org/W2169552486","https://openalex.org/W2194775991","https://openalex.org/W2243397390","https://openalex.org/W2403682575","https://openalex.org/W2508457857","https://openalex.org/W2560016511","https://openalex.org/W2562637781","https://openalex.org/W2749193951","https://openalex.org/W2751202750","https://openalex.org/W2794584741","https://openalex.org/W2860433205","https://openalex.org/W2883233582","https://openalex.org/W2887695188","https://openalex.org/W2908542906","https://openalex.org/W2919115771","https://openalex.org/W2949862294","https://openalex.org/W2952651666","https://openalex.org/W2963073614","https://openalex.org/W2963470893","https://openalex.org/W2964043980","https://openalex.org/W2964101377","https://openalex.org/W2964125708","https://openalex.org/W2972522787","https://openalex.org/W2993383518","https://openalex.org/W3000775737","https://openalex.org/W3004271471","https://openalex.org/W3034856584","https://openalex.org/W3035671550","https://openalex.org/W3094904360","https://openalex.org/W3105479728","https://openalex.org/W3124561108","https://openalex.org/W3130446996","https://openalex.org/W3134266446","https://openalex.org/W3144814114","https://openalex.org/W3182074013","https://openalex.org/W4226187670","https://openalex.org/W4246997154","https://openalex.org/W4247934040","https://openalex.org/W4282843729","https://openalex.org/W4320013936","https://openalex.org/W4375819112","https://openalex.org/W6637373629","https://openalex.org/W6640425456","https://openalex.org/W6743223498"],"related_works":["https://openalex.org/W4380433113","https://openalex.org/W4386072068","https://openalex.org/W252339960","https://openalex.org/W2390529043","https://openalex.org/W2378320433","https://openalex.org/W2358343511","https://openalex.org/W2071821326","https://openalex.org/W2051877971","https://openalex.org/W1970117064","https://openalex.org/W1787170397"],"abstract_inverted_index":{"Deep":[0],"learning":[1,166],"is":[2,12,66,90,133],"regarded":[3],"as":[4],"a":[5,18,67,78,83,120],"promising":[6],"solution":[7],"for":[8,72,160,173],"reversible":[9,19,33,69,84],"steganography.":[10,34],"There":[11],"an":[13],"accelerating":[14],"trend":[15],"of":[16,32,54,77,104,115,130,138,145,180,188],"representing":[17],"steo-system":[20],"by":[21,93],"monolithic":[22],"neural":[23,50,105,146],"networks,":[24],"which":[25,111],"bypass":[26],"intermediate":[27],"operations":[28],"in":[29,123],"traditional":[30,55],"pipelines":[31,56],"This":[35],"end-to-end":[36],"paradigm,":[37],"however,":[38],"suffers":[39],"from":[40],"imperfect":[41],"reversibility.":[42],"By":[43],"contrast,":[44],"the":[45,94,102,108,113,136,165,178],"modular":[46],"paradigm":[47],"that":[48,88],"incorporates":[49],"networks":[51,106,147],"into":[52,107],"modules":[53],"can":[57],"stably":[58],"guarantee":[59],"reversibility":[60,89],"with":[61,192],"mathematical":[62],"explainability.":[63],"Prediction-error":[64],"modulation":[65],"well-established":[68],"steganography":[70],"pipeline":[71],"digital":[73],"images.":[74],"It":[75],"consists":[76],"predictive":[79,143],"analytics":[80,109],"module":[81],"and":[82,119,126,148,168],"coding":[85,95],"module.":[86],"Given":[87],"governed":[91],"independently":[92],"module,":[96,110],"we":[97,154,184],"narrow":[98],"our":[99],"focus":[100],"to":[101,134,177],"incorporation":[103],"serves":[112],"purpose":[114],"predicting":[116],"pixel":[117],"intensities":[118],"pivotal":[121],"role":[122],"determining":[124],"capacity":[125],"imperceptibility.":[127],"The":[128],"objective":[129],"this":[131],"study":[132],"evaluate":[135],"impacts":[137],"different":[139,157,170,193],"training":[140,171],"configurations":[141],"upon":[142],"accuracy":[144],"provide":[149],"practical":[150],"insights.":[151],"In":[152],"particular,":[153],"investigate":[155],"how":[156,169],"initialisation":[158],"strategies":[159,172],"input":[161],"images":[162],"may":[163],"affect":[164],"process":[167],"dual-layer":[174],"prediction":[175],"respond":[176],"problem":[179],"distributional":[181],"shift.":[182],"Furthermore,":[183],"compare":[185],"steganographic":[186],"performance":[187],"various":[189],"model":[190],"architectures":[191],"loss":[194],"functions.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-12T07:58:50.170612","created_date":"2025-10-10T00:00:00"}