{"id":"https://openalex.org/W4417271839","doi":"https://doi.org/10.1145/3777412","title":"Deepfake Video Detection Based on Improved EfficientNetV2S and Transformer Network","display_name":"Deepfake Video Detection Based on Improved EfficientNetV2S and Transformer Network","publication_year":2025,"publication_date":"2025-12-12","ids":{"openalex":"https://openalex.org/W4417271839","doi":"https://doi.org/10.1145/3777412"},"language":"en","primary_location":{"id":"doi:10.1145/3777412","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3777412","pdf_url":null,"source":{"id":"https://openalex.org/S4210174050","display_name":"ACM Transactions on Privacy and Security","issn_l":"2471-2566","issn":["2471-2566","2471-2574"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Privacy and Security","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/A5108050767","display_name":"Liwei Deng","orcid":"https://orcid.org/0000-0002-3996-5569"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liwei Deng","raw_affiliation_strings":["School of automation, Harbin University of Science and Technology","School of automation, Harbin University of Science and Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of automation, Harbin University of Science and Technology","institution_ids":["https://openalex.org/I100188998"]},{"raw_affiliation_string":"School of automation, Harbin University of Science and Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120784072","display_name":"Yunlong Zhu","orcid":"https://orcid.org/0009-0004-0883-535X"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunlong Zhu","raw_affiliation_strings":["School of automation, Harbin University of Science and Technology","School of automation, Harbin University of Science and Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of automation, Harbin University of Science and Technology","institution_ids":["https://openalex.org/I100188998"]},{"raw_affiliation_string":"School of automation, Harbin University of Science and Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114804015","display_name":"Fei Chen","orcid":"https://orcid.org/0009-0001-2401-2159"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Chen","raw_affiliation_strings":["School of automation, Harbin University of Science and Technology","School of automation, Harbin University of Science and Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of automation, Harbin University of Science and Technology","institution_ids":["https://openalex.org/I100188998"]},{"raw_affiliation_string":"School of automation, Harbin University of Science and Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5120784073","display_name":"Liangchao Gao","orcid":"https://orcid.org/0009-0006-6886-8297"},"institutions":[{"id":"https://openalex.org/I4210157899","display_name":"China State Shipbuilding (China)","ror":"https://ror.org/04rveb346","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210157899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangchao Gao","raw_affiliation_strings":["China State Shipbuilding Corporation Limited 703rd Research Institute","China State Shipbuilding Corporation Limited 703rd Research Institute, Harbin, China"],"affiliations":[{"raw_affiliation_string":"China State Shipbuilding Corporation Limited 703rd Research Institute","institution_ids":["https://openalex.org/I4210157899"]},{"raw_affiliation_string":"China State Shipbuilding Corporation Limited 703rd Research Institute, Harbin, China","institution_ids":["https://openalex.org/I4210157899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5108050767"],"corresponding_institution_ids":["https://openalex.org/I100188998"],"apc_list":null,"apc_paid":null,"fwci":1.2784,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.8637514,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"29","issue":"1","first_page":"1","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.7903000116348267,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.7903000116348267,"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":0.13089999556541443,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.007199999876320362,"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/preprocessor","display_name":"Preprocessor","score":0.7483999729156494},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.723800003528595},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5735999941825867},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.510200023651123},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4081000089645386},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.3303000032901764}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8101000189781189},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7483999729156494},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.723800003528595},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5735999941825867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5462999939918518},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.510200023651123},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44769999384880066},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4081000089645386},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3375000059604645},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.3303000032901764},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.2994000017642975},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.28679999709129333},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2718999981880188},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.25200000405311584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3777412","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3777412","pdf_url":null,"source":{"id":"https://openalex.org/S4210174050","display_name":"ACM Transactions on Privacy and Security","issn_l":"2471-2566","issn":["2471-2566","2471-2574"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Privacy and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2558151185","https://openalex.org/W2738406145","https://openalex.org/W2891145043","https://openalex.org/W2896689692","https://openalex.org/W2904573504","https://openalex.org/W2911424785","https://openalex.org/W2914447220","https://openalex.org/W2942074357","https://openalex.org/W2981689412","https://openalex.org/W3030681797","https://openalex.org/W3034713808","https://openalex.org/W3092997524","https://openalex.org/W3093578014","https://openalex.org/W3094502228","https://openalex.org/W3128609017","https://openalex.org/W3176990204","https://openalex.org/W3194007113","https://openalex.org/W4223941448","https://openalex.org/W4287752100","https://openalex.org/W4287958448","https://openalex.org/W4288090950","https://openalex.org/W4295934721","https://openalex.org/W4362585754","https://openalex.org/W4365453089","https://openalex.org/W4386065609","https://openalex.org/W4386083021","https://openalex.org/W4386710331"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,34,61,89,92,106,109,112,155,165,186],"continuous":[2],"evolution":[3,167],"of":[4,108,150,157,168,188],"deep":[5],"learning,":[6],"forgery":[7,42],"techniques":[8],"have":[9,27],"undergone":[10],"constant":[11],"innovation,":[12],"providing":[13],"convenience":[14],"to":[15,33,79],"individuals":[16],"and":[17,55,64,100,139,173,193],"resulting":[18],"in":[19,41,77,126,181,195],"significant":[20],"negative":[21],"consequences.":[22],"Notably,":[23],"these":[24,80],"forged":[25],"videos":[26,153],"become":[28],"remarkably":[29],"realistic,":[30],"nearly":[31],"indistinguishable":[32],"human":[35],"eye,":[36],"posing":[37],"a":[38,68,74,97,118,182],"formidable":[39],"challenge":[40],"detection.":[43],"However,":[44],"many":[45],"current":[46],"Deepfake":[47,69,169,177],"detection":[48,70,178],"models":[49],"focus":[50],"on":[51,73,133],"improving":[52],"evaluation":[53],"metrics":[54],"model":[56,132],"architecture":[57],"design,":[58],"often":[59],"lacking":[60],"necessary":[62],"generality":[63],"practicality.":[65],"We":[66],"propose":[67],"method":[71],"based":[72],"hybrid":[75,183],"network":[76],"response":[78],"challenges.":[81],"Our":[82,175],"approach":[83],"utilizes":[84],"an":[85,102],"improved":[86],"EfficientNetV2S":[87],"as":[88],"backbone,":[90],"replacing":[91],"original":[93],"Fused-Conv":[94],"module":[95,99],"with":[96],"Tok-MLP":[98],"integrating":[101],"attention":[103],"mechanism":[104],"at":[105],"end":[107],"backbone.":[110],"Subsequently,":[111],"backbone's":[113],"output":[114],"is":[115],"fed":[116],"into":[117],"Vision":[119],"Transformer":[120],"(VIT)":[121],"for":[122],"classification.":[123],"Extensive":[124],"work":[125],"data":[127],"preprocessing":[128],"includes":[129],"training":[130],"our":[131,158],"three":[134],"datasets:":[135],"DFDC,":[136],"Celeb-DF":[137],"v2,":[138],"FaceForensics++.":[140],"The":[141],"achieved":[142],"results":[143],"are":[144],"exceptionally":[145],"competitive.":[146],"Additionally,":[147],"visual":[148],"analysis":[149],"DFDC":[151],"dataset":[152],"validates":[154],"practicality":[156,192],"approach,":[159],"yielding":[160],"outstanding":[161],"results.":[162],"In":[163],"conclusion,":[164],"relentless":[166],"technology":[170],"poses":[171],"challenges":[172],"opportunities.":[174],"novel":[176],"method,":[179],"grounded":[180],"network,":[184],"enhances":[185],"capabilities":[187],"existing":[189],"models,":[190],"ensuring":[191],"effectiveness":[194],"real-world":[196],"scenarios.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-12-12T00:00:00"}