{"id":"https://openalex.org/W4412387456","doi":"https://doi.org/10.1145/3733567.3735569","title":"XDF: A Large-Scale Dataset for Evaluating Video Deepfake Detection Across Multiple Manipulation Techniques","display_name":"XDF: A Large-Scale Dataset for Evaluating Video Deepfake Detection Across Multiple Manipulation Techniques","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4412387456","doi":"https://doi.org/10.1145/3733567.3735569"},"language":"en","primary_location":{"id":"doi:10.1145/3733567.3735569","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3733567.3735569","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3733567.3735569","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th ACM International Workshop on Multimedia AI against Disinformation","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3733567.3735569","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5094056092","display_name":"Vazgken Vanian","orcid":"https://orcid.org/0000-0002-2150-3446"},"institutions":[{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Vazgken Vanian","raw_affiliation_strings":["Centre for Research and Technology Hellas, Thessaloniki, Greece"],"raw_orcid":"https://orcid.org/0000-0002-2150-3446","affiliations":[{"raw_affiliation_string":"Centre for Research and Technology Hellas, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210134249"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075090284","display_name":"\u0393\u03b5\u03ce\u03c1\u03b3\u03b9\u03bf\u03c2 \u03a0\u03b5\u03c4\u03bc\u03b5\u03b6\u03ac\u03c2","orcid":"https://orcid.org/0000-0002-3371-569X"},"institutions":[{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Georgios Petmezas","raw_affiliation_strings":["Centre for Research and Technology Hellas, Thessaloniki, Greece"],"raw_orcid":"https://orcid.org/0000-0002-3371-569X","affiliations":[{"raw_affiliation_string":"Centre for Research and Technology Hellas, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210134249"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052551208","display_name":"Konstantinos Konstantoudakis","orcid":"https://orcid.org/0000-0001-5092-8796"},"institutions":[{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Konstantinos Konstantoudakis","raw_affiliation_strings":["Centre for Research and Technology Hellas, Thessaloniki, Greece"],"raw_orcid":"https://orcid.org/0000-0001-5092-8796","affiliations":[{"raw_affiliation_string":"Centre for Research and Technology Hellas, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210134249"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059708050","display_name":"Dimitrios Zarpalas","orcid":"https://orcid.org/0000-0002-9649-9306"},"institutions":[{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitris Zarpalas","raw_affiliation_strings":["Centre for Research and Technology Hellas, Thessaloniki, Greece"],"raw_orcid":"https://orcid.org/0000-0002-9649-9306","affiliations":[{"raw_affiliation_string":"Centre for Research and Technology Hellas, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210134249"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210134249"],"apc_list":null,"apc_paid":null,"fwci":1.403,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.80547875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"37","last_page":"44"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9986000061035156,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9966999888420105,"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":0.7429790496826172},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6702607870101929},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3753504157066345},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32094433903694153},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.0753423273563385},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.05273088812828064}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7429790496826172},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6702607870101929},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3753504157066345},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32094433903694153},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0753423273563385},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.05273088812828064}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3733567.3735569","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3733567.3735569","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3733567.3735569","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th ACM International Workshop on Multimedia AI against Disinformation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3733567.3735569","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3733567.3735569","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3733567.3735569","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th ACM International Workshop on Multimedia AI against Disinformation","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4261630327","display_name":null,"funder_award_id":"101073928","funder_id":"https://openalex.org/F7688188606","funder_display_name":"European Research Executive Agency"},{"id":"https://openalex.org/G4902114348","display_name":null,"funder_award_id":"101073928","funder_id":"https://openalex.org/F4320334322","funder_display_name":"HORIZON EUROPE Framework Programme"},{"id":"https://openalex.org/G5083586389","display_name":"European Identity THeft Observatory System","funder_award_id":"101073928","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320334322","display_name":"HORIZON EUROPE Framework Programme","ror":null},{"id":"https://openalex.org/F7688188606","display_name":"European Research Executive Agency","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412387456.pdf","grobid_xml":"https://content.openalex.org/works/W4412387456.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W2891145043","https://openalex.org/W2911424785","https://openalex.org/W2963684180","https://openalex.org/W2982058372","https://openalex.org/W3034900344","https://openalex.org/W3178284600","https://openalex.org/W4213449918","https://openalex.org/W4214876496","https://openalex.org/W4288102863","https://openalex.org/W4297498506","https://openalex.org/W4307955901","https://openalex.org/W4310379947","https://openalex.org/W4312473638","https://openalex.org/W4312967678","https://openalex.org/W4385801058","https://openalex.org/W4386072021","https://openalex.org/W4387874311","https://openalex.org/W4391436883","https://openalex.org/W4393185698","https://openalex.org/W4399138486","https://openalex.org/W4402727609"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Deepfake":[0],"technologies":[1],"have":[2,49],"rapidly":[3],"advanced,":[4],"presenting":[5],"significant":[6],"challenges":[7,131],"to":[8,23,56,109],"the":[9,27,38,80,97,121,133],"integrity":[10],"of":[11,44,72,84,99,123],"digital":[12],"media":[13],"and":[14,41,58,74,82,112,127,138],"creating":[15],"potential":[16],"risks":[17],"in":[18,132],"various":[19],"sectors,":[20],"from":[21],"politics":[22],"personal":[24],"privacy.In":[25],"response,":[26],"research":[28,137],"community":[29],"has":[30],"focused":[31],"on":[32],"developing":[33],"reliable":[34],"deepfake":[35,86,125],"detection":[36,60,87,101],"methods.However,":[37],"continuous":[39],"advancements":[40],"growing":[42],"complexity":[43],"artificial":[45],"intelligence":[46],"(AI)":[47],"models":[48],"outpaced":[50],"existing":[51],"datasets,":[52],"making":[53],"it":[54],"difficult":[55],"train":[57],"evaluate":[59],"systems":[61],"effectively.This":[62],"paper":[63],"addresses":[64],"this":[65,115],"gap":[66],"by":[67],"introducing":[68],"a":[69,93,104],"comprehensive":[70],"dataset":[71,89],"real":[73],"manipulated":[75],"videos,":[76],"aimed":[77],"at":[78],"supporting":[79],"development":[81,139],"evaluation":[83],"advanced":[85],"models.This":[88],"could":[90],"serve":[91],"as":[92],"benchmark":[94],"for":[95,107,120],"assessing":[96],"effectiveness":[98],"emerging":[100],"methodologies,":[102],"providing":[103],"standardized":[105],"resource":[106],"researchers":[108],"measure":[110],"progress":[111],"compare":[113],"results.Additionally,":[114],"study":[116],"offers":[117],"key":[118],"insights":[119],"creation":[122],"effective":[124],"datasets":[126],"identifies":[128],"several":[129],"pressing":[130],"field,":[134],"guiding":[135],"future":[136],"efforts.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
