{"id":"https://openalex.org/W2911595989","doi":"https://doi.org/10.1109/wifs.2018.8630766","title":"A Multi-Task Learning CNN for Image Steganalysis","display_name":"A Multi-Task Learning CNN for Image Steganalysis","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2911595989","doi":"https://doi.org/10.1109/wifs.2018.8630766","mag":"2911595989"},"language":"en","primary_location":{"id":"doi:10.1109/wifs.2018.8630766","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wifs.2018.8630766","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Workshop on Information Forensics and Security (WIFS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/A_multi-task_learning_CNN_for_image_steganalysis/20763346","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021444482","display_name":"Xiangyu Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangyu Yu","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, Guangdong, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, Guangdong, P. R. China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077338066","display_name":"Huabin Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huabin Tan","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, Guangdong, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, Guangdong, P. R. China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101837398","display_name":"Hui Liang","orcid":"https://orcid.org/0000-0003-2327-6870"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Liang","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, Guangdong, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, Guangdong, P. R. China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075200053","display_name":"Chang\u2010Tsun Li","orcid":"https://orcid.org/0000-0003-4735-6138"},"institutions":[{"id":"https://openalex.org/I153230381","display_name":"Charles Sturt University","ror":"https://ror.org/00wfvh315","country_code":"AU","type":"education","lineage":["https://openalex.org/I153230381"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chang-Tsun Li","raw_affiliation_strings":["School of Computing and Mathematics, Charles Sturt University, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing and Mathematics, Charles Sturt University, Australia","institution_ids":["https://openalex.org/I153230381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062183387","display_name":"Guangjun Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210147983","display_name":"Guangdong Police College","ror":"https://ror.org/05krxyw16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210147983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangjun Liao","raw_affiliation_strings":["Faculty of Forensic Science and Technology, Guangdong Police College Guangzhou, Guangdong, P. R. China"],"affiliations":[{"raw_affiliation_string":"Faculty of Forensic Science and Technology, Guangdong Police College Guangzhou, Guangdong, P. R. China","institution_ids":["https://openalex.org/I4210147983"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5021444482"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.9569,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.81779555,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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":0.9997000098228455,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9969000220298767,"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/steganalysis","display_name":"Steganalysis","score":0.9604901671409607},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8386838436126709},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.805826723575592},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7670377492904663},{"id":"https://openalex.org/keywords/steganography","display_name":"Steganography","score":0.6450148820877075},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6393612027168274},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6006537079811096},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5718289613723755},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.532019853591919},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5106506943702698},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5016875267028809},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3910316228866577},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36048465967178345},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1386076807975769}],"concepts":[{"id":"https://openalex.org/C107368093","wikidata":"https://www.wikidata.org/wiki/Q448176","display_name":"Steganalysis","level":4,"score":0.9604901671409607},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8386838436126709},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.805826723575592},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7670377492904663},{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.6450148820877075},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6393612027168274},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6006537079811096},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5718289613723755},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.532019853591919},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5106506943702698},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5016875267028809},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3910316228866577},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36048465967178345},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1386076807975769}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/wifs.2018.8630766","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wifs.2018.8630766","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Workshop on Information Forensics and Security (WIFS)","raw_type":"proceedings-article"},{"id":"pmh:oai:wrap.warwick.ac.uk:136557","is_oa":false,"landing_page_url":null,"pdf_url":null,"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":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Item"},{"id":"pmh:oai:figshare.com:article/20763346","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/A_multi-task_learning_CNN_for_image_steganalysis/20763346","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":"pmh:oai:figshare.com:article/20763346","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/A_multi-task_learning_CNN_for_image_steganalysis/20763346","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"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W22271197","https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1896424170","https://openalex.org/W1903029394","https://openalex.org/W1955882805","https://openalex.org/W1976570511","https://openalex.org/W2009130368","https://openalex.org/W2046180645","https://openalex.org/W2052678124","https://openalex.org/W2078224158","https://openalex.org/W2081564928","https://openalex.org/W2102605133","https://openalex.org/W2124664712","https://openalex.org/W2163605009","https://openalex.org/W2170598445","https://openalex.org/W2216125271","https://openalex.org/W2322622188","https://openalex.org/W2416075718","https://openalex.org/W2514127746","https://openalex.org/W2538511122","https://openalex.org/W2542290803","https://openalex.org/W2620030702","https://openalex.org/W2621048556","https://openalex.org/W2624871570","https://openalex.org/W2733608110","https://openalex.org/W2739185626","https://openalex.org/W2791370475","https://openalex.org/W2913340405","https://openalex.org/W2949117887","https://openalex.org/W2963957509","https://openalex.org/W2964121744","https://openalex.org/W4239943352","https://openalex.org/W4294363064","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6637373629","https://openalex.org/W6639495226","https://openalex.org/W6644369105","https://openalex.org/W6662048488","https://openalex.org/W6684191040","https://openalex.org/W6738503050","https://openalex.org/W6749629835"],"related_works":["https://openalex.org/W2148973528","https://openalex.org/W2939392096","https://openalex.org/W4243922849","https://openalex.org/W2106726851","https://openalex.org/W4309385482","https://openalex.org/W2068740952","https://openalex.org/W1583147569","https://openalex.org/W2182496537","https://openalex.org/W2792878404","https://openalex.org/W3154843532"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"network":[2],"(CNN)":[3],"based":[4],"image":[5,24,112],"steganalysis":[6,25],"are":[7,126],"increasingly":[8],"popular":[9],"because":[10,52],"of":[11,53,82,101,122,137,148],"their":[12],"superiority":[13],"in":[14,67,110],"accuracy.":[15],"The":[16],"most":[17],"straightforward":[18],"way":[19],"to":[20,27,32,47,78,117,129,132],"employ":[21,130],"CNN":[22,73,94,131],"for":[23,88],"is":[26,45,74,95],"learn":[28,48],"a":[29,50,70,85],"CNN-based":[30,86],"classifier":[31,51,87],"distinguish":[33],"whether":[34,107],"secret":[35],"messages":[36],"have":[37,142],"been":[38,114],"embedded":[39],"into":[40],"an":[41,98,111],"image.":[42],"However,":[43],"it":[44],"difficult":[46],"such":[49,138],"the":[54,59,79,89,102,120,127,134,144,149],"weak":[55],"stego":[56],"signals":[57],"and":[58,146],"limited":[60],"useful":[61],"information.":[62],"To":[63,119],"address":[64],"this":[65,68],"issue,":[66],"paper,":[69],"multi-task":[71,93,151],"learning":[72,84,152],"proposed.":[75],"In":[76],"addition":[77],"typical":[80],"use":[81],"CNN,":[83],"whole":[90],"image,":[91],"our":[92,123],"learned":[96],"with":[97],"auxiliary":[99],"task":[100],"pixel":[103,109],"binary":[104],"classification,":[105],"estimating":[106],"each":[108],"has":[113],"modified":[115],"due":[116],"steganography.":[118],"best":[121],"knowledge,":[124],"we":[125],"first":[128],"perform":[133],"pixel-level":[135],"classification":[136],"type.":[139],"Experimental":[140],"results":[141],"justified":[143],"effectiveness":[145],"efficiency":[147],"proposed":[150],"CNN.":[153]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
