{"id":"https://openalex.org/W3172431060","doi":"https://doi.org/10.1155/2021/9942754","title":"FeatureTransfer: Unsupervised Domain Adaptation for Cross-Domain Deepfake Detection","display_name":"FeatureTransfer: Unsupervised Domain Adaptation for Cross-Domain Deepfake Detection","publication_year":2021,"publication_date":"2021-06-07","ids":{"openalex":"https://openalex.org/W3172431060","doi":"https://doi.org/10.1155/2021/9942754","mag":"3172431060"},"language":"en","primary_location":{"id":"doi:10.1155/2021/9942754","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/9942754","pdf_url":"https://downloads.hindawi.com/journals/scn/2021/9942754.pdf","source":{"id":"https://openalex.org/S120683614","display_name":"Security and Communication Networks","issn_l":"1939-0114","issn":["1939-0114","1939-0122"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Security and Communication Networks","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/scn/2021/9942754.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066140816","display_name":"Baoying Chen","orcid":"https://orcid.org/0000-0002-9998-6433"},"institutions":[{"id":"https://openalex.org/I1302611135","display_name":"Ministry of Public Security of the People's Republic of China","ror":"https://ror.org/00bt9we26","country_code":"CN","type":"government","lineage":["https://openalex.org/I1302611135"]},{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]},{"id":"https://openalex.org/I4210142539","display_name":"Guangdong Institute of Intelligent Manufacturing","ror":"https://ror.org/049jpjz09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210142539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoying Chen","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China","Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen, China","Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","Shenzhen Key Laboratory of Media Security, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-9998-6433","affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen, China","institution_ids":["https://openalex.org/I4210142539"]},{"raw_affiliation_string":"Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","institution_ids":["https://openalex.org/I4210104064"]},{"raw_affiliation_string":"Shenzhen Key Laboratory of Media Security, Shenzhen, China","institution_ids":["https://openalex.org/I1302611135"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023503629","display_name":"Shunquan Tan","orcid":"https://orcid.org/0000-0002-7457-3691"},"institutions":[{"id":"https://openalex.org/I1302611135","display_name":"Ministry of Public Security of the People's Republic of China","ror":"https://ror.org/00bt9we26","country_code":"CN","type":"government","lineage":["https://openalex.org/I1302611135"]},{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]},{"id":"https://openalex.org/I4210142539","display_name":"Guangdong Institute of Intelligent Manufacturing","ror":"https://ror.org/049jpjz09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210142539"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shunquan Tan","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China","Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen, China","Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","Shenzhen Key Laboratory of Media Security, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-7457-3691","affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen, China","institution_ids":["https://openalex.org/I4210142539"]},{"raw_affiliation_string":"Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","institution_ids":["https://openalex.org/I4210104064"]},{"raw_affiliation_string":"Shenzhen Key Laboratory of Media Security, Shenzhen, China","institution_ids":["https://openalex.org/I1302611135"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5023503629"],"corresponding_institution_ids":["https://openalex.org/I1302611135","https://openalex.org/I180726961","https://openalex.org/I4210104064","https://openalex.org/I4210142539"],"apc_list":{"value":2550,"currency":"USD","value_usd":2550},"apc_paid":{"value":2550,"currency":"USD","value_usd":2550},"fwci":1.3558,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.80721467,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"2021","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9984999895095825,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9984999895095825,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9962000250816345,"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/overfitting","display_name":"Overfitting","score":0.9521294832229614},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.904134213924408},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7005932331085205},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6535530686378479},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6285572648048401},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.576659083366394},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5278670191764832},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5238982439041138},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4776662290096283},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4396604299545288},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.38279691338539124}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.9521294832229614},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.904134213924408},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7005932331085205},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6535530686378479},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6285572648048401},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.576659083366394},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5278670191764832},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5238982439041138},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4776662290096283},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4396604299545288},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.38279691338539124},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2021/9942754","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/9942754","pdf_url":"https://downloads.hindawi.com/journals/scn/2021/9942754.pdf","source":{"id":"https://openalex.org/S120683614","display_name":"Security and Communication Networks","issn_l":"1939-0114","issn":["1939-0114","1939-0122"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Security and Communication Networks","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b9fef6e3433d4e1798b77e2e85a7f5d9","is_oa":false,"landing_page_url":"https://doaj.org/article/b9fef6e3433d4e1798b77e2e85a7f5d9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Security and Communication Networks, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/9942754","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/9942754","pdf_url":"https://downloads.hindawi.com/journals/scn/2021/9942754.pdf","source":{"id":"https://openalex.org/S120683614","display_name":"Security and Communication Networks","issn_l":"1939-0114","issn":["1939-0114","1939-0122"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Security and Communication Networks","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1187865044","display_name":null,"funder_award_id":"U19B2022","funder_id":"https://openalex.org/F4320329801","funder_display_name":"Shenzhen Research and Development Program"},{"id":"https://openalex.org/G1865510765","display_name":null,"funder_award_id":"61772349","funder_id":"https://openalex.org/F4320329801","funder_display_name":"Shenzhen Research and Development Program"},{"id":"https://openalex.org/G2575063120","display_name":null,"funder_award_id":"JCYJ20180305124325555","funder_id":"https://openalex.org/F4320329801","funder_display_name":"Shenzhen Research and Development Program"},{"id":"https://openalex.org/G362522271","display_name":null,"funder_award_id":"2019B010139003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4107012507","display_name":null,"funder_award_id":"2019B151502001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4871455045","display_name":null,"funder_award_id":"U19B2022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4937944944","display_name":"\u5bf9\u6297\u73af\u5883\u4e0b\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684JPEG\u56fe\u50cf\u53d6\u8bc1\u4e0e\u53cd\u53d6\u8bc1\u7814\u7a76","funder_award_id":"61872244","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G543693470","display_name":null,"funder_award_id":"61872244","funder_id":"https://openalex.org/F4320329801","funder_display_name":"Shenzhen Research and Development Program"},{"id":"https://openalex.org/G6667403026","display_name":null,"funder_award_id":"2019B151502001","funder_id":"https://openalex.org/F4320329801","funder_display_name":"Shenzhen Research and Development Program"},{"id":"https://openalex.org/G7251903255","display_name":"\u57fa\u4e8e\u5f20\u91cf\u5206\u89e3\u6846\u67b6\u7684\u6df1\u5ea6\u5b66\u4e60\u4fe1\u606f\u9690\u85cf\u5bf9\u6297\u7814\u7a76","funder_award_id":"61772349","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8617609110","display_name":null,"funder_award_id":"2019B151502001","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G8845593159","display_name":null,"funder_award_id":"JCYJ20180305124325555","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G929949166","display_name":null,"funder_award_id":"2019B010139003","funder_id":"https://openalex.org/F4320329801","funder_display_name":"Shenzhen Research and Development Program"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329801","display_name":"Shenzhen Research and Development Program","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3172431060.pdf","grobid_xml":"https://content.openalex.org/works/W3172431060.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W104728251","https://openalex.org/W1482998036","https://openalex.org/W1882958252","https://openalex.org/W2115252128","https://openalex.org/W2159291411","https://openalex.org/W2588595876","https://openalex.org/W2788768841","https://openalex.org/W2891145043","https://openalex.org/W2898877033","https://openalex.org/W2902304528","https://openalex.org/W2904573504","https://openalex.org/W2909336075","https://openalex.org/W2911424785","https://openalex.org/W2912336782","https://openalex.org/W2913399670","https://openalex.org/W2914447220","https://openalex.org/W2945052639","https://openalex.org/W2949059773","https://openalex.org/W2960776470","https://openalex.org/W2963684180","https://openalex.org/W2964288524","https://openalex.org/W2966880194","https://openalex.org/W2974633573","https://openalex.org/W2980459401","https://openalex.org/W2982058372","https://openalex.org/W2982383280","https://openalex.org/W2984700035","https://openalex.org/W2990182422","https://openalex.org/W2990452356","https://openalex.org/W2997990748","https://openalex.org/W3004205097","https://openalex.org/W3011288915","https://openalex.org/W3012472557","https://openalex.org/W3025670292","https://openalex.org/W3034196597","https://openalex.org/W3034411055","https://openalex.org/W3034713808","https://openalex.org/W3035446294","https://openalex.org/W3042687732","https://openalex.org/W3083246145","https://openalex.org/W3090184281","https://openalex.org/W3094728142","https://openalex.org/W3098883884","https://openalex.org/W3100944058","https://openalex.org/W3107058614","https://openalex.org/W3120185565","https://openalex.org/W3130982961","https://openalex.org/W4288090950","https://openalex.org/W4309845474","https://openalex.org/W6677618333","https://openalex.org/W6743731764","https://openalex.org/W6748805638","https://openalex.org/W6755772070","https://openalex.org/W6772330936","https://openalex.org/W6779607597"],"related_works":["https://openalex.org/W4390929683","https://openalex.org/W3183901164","https://openalex.org/W2951211570","https://openalex.org/W3135818718","https://openalex.org/W4290188444","https://openalex.org/W4389474468","https://openalex.org/W2253429366","https://openalex.org/W3127975138","https://openalex.org/W4300172004","https://openalex.org/W3203792196"],"abstract_inverted_index":{"Recently,":[0],"various":[1],"Deepfake":[2,63,79,92,157],"detection":[3,20,64,158],"methods":[4,21],"have":[5,38,127],"been":[6],"proposed,":[7],"and":[8,29,97,159],"most":[9],"of":[10,91,164],"them":[11],"are":[12,104,139],"based":[13,111],"on":[14,25,34,75,112],"convolutional":[15],"neural":[16,109],"networks":[17],"(CNNs).":[18],"These":[19],"suffer":[22],"from":[23,41],"overfitting":[24,154],"the":[26,42,86,95,107,121,124,133,136,146,153,162],"source":[27,43,96,125],"dataset":[28,80],"do":[30],"not":[31],"perform":[32],"well":[33],"cross-domain":[35],"datasets":[36],"which":[37,59],"different":[39],"distributions":[40],"dataset.":[44],"To":[45],"address":[46],"these":[47,101],"limitations,":[48],"a":[49,61,76],"new":[50],"method":[51,65,148],"named":[52],"FeatureTransfer":[53,149],"is":[54,60],"proposed":[55,147],"in":[56,94,123,135,156],"this":[57],"paper,":[58],"two-stage":[62],"combining":[66],"with":[67],"transfer":[68],"learning.":[69],"Firstly,":[70],"The":[71,141],"CNN":[72],"model":[73],"pretrained":[74],"third-party":[77],"large-scale":[78],"can":[81,150],"be":[82],"used":[83],"to":[84],"extract":[85],"more":[87],"transferable":[88],"feature":[89,102],"vectors":[90,103],"videos":[93,122,134],"target":[98,137],"domains.":[99],"Secondly,":[100],"fed":[105],"into":[106],"domain-adversarial":[108],"network":[110],"backpropagation":[113],"(BP-DANN)":[114],"for":[115],"unsupervised":[116],"domain":[117,126,138],"adaptive":[118],"training,":[119],"where":[120],"real":[128],"or":[129],"fake":[130],"labels,":[131],"while":[132],"unlabelled.":[140],"experimental":[142],"results":[143],"indicate":[144],"that":[145],"effectively":[151],"solve":[152],"problem":[155],"greatly":[160],"improve":[161],"performance":[163],"cross-dataset":[165],"evaluation.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
