{"id":"https://openalex.org/W4407373871","doi":"https://doi.org/10.1109/lsp.2025.3540941","title":"Cross-Domain Deepfake Detection Based on Latent Domain Knowledge Distillation","display_name":"Cross-Domain Deepfake Detection Based on Latent Domain Knowledge Distillation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407373871","doi":"https://doi.org/10.1109/lsp.2025.3540941"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2025.3540941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3540941","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068503490","display_name":"Chunpeng Wang","orcid":"https://orcid.org/0000-0002-3742-5614"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunpeng Wang","raw_affiliation_strings":["Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063835898","display_name":"Meng Lv","orcid":"https://orcid.org/0000-0001-6625-9523"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingshan Meng","raw_affiliation_strings":["Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089556891","display_name":"Zhiqiu Xia","orcid":"https://orcid.org/0000-0002-9166-697X"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiu Xia","raw_affiliation_strings":["Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038264113","display_name":"Na Ren","orcid":"https://orcid.org/0000-0002-1113-6494"},"institutions":[{"id":"https://openalex.org/I108904480","display_name":"Shenyang Institute of Engineering","ror":"https://ror.org/02pfsj857","country_code":"CN","type":"education","lineage":["https://openalex.org/I108904480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Na Ren","raw_affiliation_strings":["College of Information, Shenyang Institute of Engineering, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"College of Information, Shenyang Institute of Engineering, Shenyang, China","institution_ids":["https://openalex.org/I108904480"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100749734","display_name":"Bin Ma","orcid":"https://orcid.org/0000-0002-9030-7393"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Ma","raw_affiliation_strings":["Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5068503490"],"corresponding_institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"],"apc_list":null,"apc_paid":null,"fwci":7.4546,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.96198756,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"32","issue":null,"first_page":"896","last_page":"900"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9718000292778015,"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"}},"topics":[{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9718000292778015,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9498999714851379,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9413999915122986,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7059618234634399},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6912659406661987},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.4673490822315216},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3599618077278137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3273923099040985},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3227863311767578},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.17906421422958374},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.1312662661075592},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1303253173828125}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7059618234634399},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6912659406661987},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.4673490822315216},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3599618077278137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3273923099040985},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3227863311767578},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.17906421422958374},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.1312662661075592},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1303253173828125},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2025.3540941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3540941","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2034971590","display_name":null,"funder_award_id":"62302249","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3936245613","display_name":null,"funder_award_id":"62272255","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2096070062","https://openalex.org/W2108598243","https://openalex.org/W2531409750","https://openalex.org/W2982058372","https://openalex.org/W3034196597","https://openalex.org/W3034713808","https://openalex.org/W3035294798","https://openalex.org/W3035494777","https://openalex.org/W3158661000","https://openalex.org/W3173317327","https://openalex.org/W3174508664","https://openalex.org/W3176241004","https://openalex.org/W3214778407","https://openalex.org/W4210623456","https://openalex.org/W4221149434","https://openalex.org/W4223572737","https://openalex.org/W4292793883","https://openalex.org/W4293518933","https://openalex.org/W4312753047","https://openalex.org/W4312897837","https://openalex.org/W4312967678","https://openalex.org/W4321021702","https://openalex.org/W4323322175","https://openalex.org/W4385804967","https://openalex.org/W4386003079","https://openalex.org/W4386047746","https://openalex.org/W4386071484","https://openalex.org/W4386075957","https://openalex.org/W4388189737","https://openalex.org/W4390872011","https://openalex.org/W4393154086","https://openalex.org/W6687400500","https://openalex.org/W6850116420"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"The":[0,137],"rapid":[1],"development":[2],"of":[3,50,114,184],"deepfake":[4,20,33,71],"technology":[5],"poses":[6],"challenges":[7],"to":[8,18,26,30,43,100,105,110,141,145,158],"face-centered":[9],"data":[10],"security.":[11],"Existing":[12],"methods":[13],"primarily":[14],"focus":[15],"on":[16],"how":[17],"transfer":[19],"detectors":[21],"from":[22],"the":[23,27,45,51,74,102,106,112,118,150,154,164,178,182],"source":[24,52],"domain":[25,29,147],"target":[28,107],"handle":[31],"diverse":[32],"techniques.":[34],"In":[35,54,73],"practical":[36],"application":[37],"scenarios,":[38],"it":[39],"is":[40,139,156],"usually":[41],"difficult":[42],"access":[44],"true":[46],"and":[47,88,130,177],"false":[48],"labels":[49],"domain.":[53,108],"this":[55],"letter,":[56],"we":[57,77,121],"introduce":[58],"a":[59,79,85,89,97,123,131],"new":[60],"adaptation":[61,104],"framework":[62],"called":[63],"Latent":[64,125],"Domain":[65,126],"Knowledge":[66],"Distillation":[67],"(LDKD)":[68],"for":[69,163],"cross-domain":[70,167],"detection.":[72],"proposed":[75],"framework,":[76],"construct":[78],"knowledge":[80],"distillation":[81],"structure":[82],"that":[83,171],"includes":[84],"student":[86],"network":[87],"teacher":[90,119],"network,":[91,120],"which":[92],"are":[93],"jointly":[94],"optimized":[95],"in":[96],"coupled":[98],"manner":[99],"facilitate":[101],"model's":[103],"Furthermore,":[109],"improve":[111],"quality":[113],"pseudo-labels":[115],"generated":[116],"by":[117],"propose":[122],"Fourier":[124],"Generation":[127],"Module":[128,135],"(FLGM)":[129],"Stochastic":[132],"Complementary":[133],"Mask":[134],"(SCMM).":[136],"former":[138],"used":[140],"generate":[142],"latent":[143],"domains":[144],"bridge":[146],"differences":[148],"at":[149],"image":[151],"level,":[152],"while":[153],"latter":[155],"employed":[157],"mine":[159],"richer":[160],"contextual":[161],"cues":[162],"model.":[165],"Extensive":[166],"experimental":[168],"results":[169],"demonstrate":[170],"our":[172,185],"method":[173],"achieves":[174],"state-of-the-art":[175],"performance,":[176],"model":[179],"analysis":[180],"proves":[181],"effectiveness":[183],"key":[186],"components.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}