{"id":"https://openalex.org/W4413679363","doi":"https://doi.org/10.1109/csr64739.2025.11130110","title":"ResViT: A Hybrid Model for Robust Deepfake Video Detection","display_name":"ResViT: A Hybrid Model for Robust Deepfake Video Detection","publication_year":2025,"publication_date":"2025-08-04","ids":{"openalex":"https://openalex.org/W4413679363","doi":"https://doi.org/10.1109/csr64739.2025.11130110"},"language":"en","primary_location":{"id":"doi:10.1109/csr64739.2025.11130110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csr64739.2025.11130110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Cyber Security and Resilience (CSR)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/10447/696385","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119437404","display_name":"Anahita Aria","orcid":null},"institutions":[{"id":"https://openalex.org/I181744264","display_name":"Kharazmi University","ror":"https://ror.org/05hsgex59","country_code":"IR","type":"education","lineage":["https://openalex.org/I181744264"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Anahita Aria","raw_affiliation_strings":["Kharazmi University,Department of Electrical and Computer Engineering,Tehran,Iran"],"affiliations":[{"raw_affiliation_string":"Kharazmi University,Department of Electrical and Computer Engineering,Tehran,Iran","institution_ids":["https://openalex.org/I181744264"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086084081","display_name":"Seyedeh Leili Mirtaheri","orcid":"https://orcid.org/0000-0002-0744-5876"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Seyedeh Leili Mirtaheri","raw_affiliation_strings":["Modeling, Electronics and System Engineering (DIMES), University of Calabria,Department of Informatics,Rende,Italy"],"affiliations":[{"raw_affiliation_string":"Modeling, Electronics and System Engineering (DIMES), University of Calabria,Department of Informatics,Rende,Italy","institution_ids":["https://openalex.org/I45204951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007164539","display_name":"Seyyed Amir Asghari","orcid":"https://orcid.org/0000-0003-1506-3533"},"institutions":[{"id":"https://openalex.org/I181744264","display_name":"Kharazmi University","ror":"https://ror.org/05hsgex59","country_code":"IR","type":"education","lineage":["https://openalex.org/I181744264"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Seyyed Amir Asghari","raw_affiliation_strings":["Kharazmi University,Department of Electrical and Computer Engineering,Tehran,Iran"],"affiliations":[{"raw_affiliation_string":"Kharazmi University,Department of Electrical and Computer Engineering,Tehran,Iran","institution_ids":["https://openalex.org/I181744264"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046458978","display_name":"Reza Shahbazian","orcid":"https://orcid.org/0000-0002-2313-6002"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Reza Shahbazian","raw_affiliation_strings":["Modeling, Electronics and System Engineering (DIMES), University of Calabria,Department of Informatics,Rende,Italy"],"affiliations":[{"raw_affiliation_string":"Modeling, Electronics and System Engineering (DIMES), University of Calabria,Department of Informatics,Rende,Italy","institution_ids":["https://openalex.org/I45204951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061876852","display_name":"Andrea Pugliese","orcid":"https://orcid.org/0000-0003-4385-958X"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Pugliese","raw_affiliation_strings":["Modeling, Electronics and System Engineering (DIMES), University of Calabria,Department of Informatics,Rende,Italy"],"affiliations":[{"raw_affiliation_string":"Modeling, Electronics and System Engineering (DIMES), University of Calabria,Department of Informatics,Rende,Italy","institution_ids":["https://openalex.org/I45204951"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5119437404"],"corresponding_institution_ids":["https://openalex.org/I181744264"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2711662,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"366","last_page":"371"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9930999875068665,"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":0.9930999875068665,"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":0.991100013256073,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9746999740600586,"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":0.7244636416435242},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36571747064590454},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3407433032989502}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7244636416435242},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36571747064590454},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3407433032989502}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/csr64739.2025.11130110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csr64739.2025.11130110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Cyber Security and Resilience (CSR)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unipa.it:10447/696385","is_oa":true,"landing_page_url":"https://hdl.handle.net/10447/696385","pdf_url":null,"source":{"id":"https://openalex.org/S4306401065","display_name":"Nova Science Publishers (Nova Science Publishers, Inc.)","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/bookPart"}],"best_oa_location":{"id":"pmh:oai:iris.unipa.it:10447/696385","is_oa":true,"landing_page_url":"https://hdl.handle.net/10447/696385","pdf_url":null,"source":{"id":"https://openalex.org/S4306401065","display_name":"Nova Science Publishers (Nova Science Publishers, Inc.)","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/bookPart"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,90],"innovative":[4],"method":[5,150],"to":[6,60],"detect":[7],"Deepfake":[8,75,103,152],"videos.":[9,66],"The":[10,42],"proposed":[11],"model,":[12],"ResNet":[13],"Vision":[14,37],"Transformer":[15,38],"(ResViT),":[16],"incorporates":[17],"two":[18,71],"complementary":[19],"components:":[20],"a":[21,36,148],"Convolutional":[22],"Neural":[23],"Network":[24],"(CNN)":[25],"founded":[26],"on":[27,95,121],"the":[28,55,74,81,96,122,143],"ResNet50":[29],"architecture":[30],"for":[31,40,151],"effective":[32],"feature":[33],"extraction":[34],"and":[35,64,80,116,129,134],"(ViT)":[39],"categorization.":[41],"CNN":[43],"captures":[44],"spatial":[45],"characteristics":[46],"from":[47],"video":[48,153],"frames,":[49],"which":[50],"are":[51],"then":[52],"analyzed":[53],"by":[54],"ViT":[56],"employing":[57],"attention":[58],"mechanisms":[59],"differentiate":[61],"between":[62],"authentic":[63],"altered":[65],"We":[67],"assessed":[68],"ResViT":[69,106,146],"using":[70],"benchmark":[72],"datasets,":[73],"Detection":[76],"Challenge":[77],"(DFDC)":[78],"dataset":[79],"FaceForensics++":[82,123],"dataset,":[83,98],"attaining":[84],"outstanding":[85],"results.":[86],"Our":[87],"model":[88],"attained":[89,107],"accuracy":[91],"of":[92,109,145],"$97.1":[93],"\\%$":[94],"DFDC":[97],"illustrating":[99],"its":[100,132],"efficacy":[101],"in":[102],"detection.":[104,154],"Furthermore,":[105],"accuracies":[108],"$86.8":[110],"\\%,":[111,113],"75.1":[112],"75.5":[114],"\\%$,":[115],"$\\mathbf{9":[117],"4.":[118],"9":[119],"\\%}$":[120],"subsets":[124],"(i.e.,":[125],"Face2Face,":[126],"FaceSwap,":[127],"NeuralTextures,":[128],"DeepFakes),":[130],"underscoring":[131],"robustness":[133],"adaptability":[135],"across":[136],"various":[137],"manipulation":[138],"methods.":[139],"These":[140],"findings":[141],"emphasize":[142],"promise":[144],"as":[147],"reliable":[149]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
