{"id":"https://openalex.org/W4405907492","doi":"https://doi.org/10.1109/icspis63676.2024.10812603","title":"Generalizable Spatiotemporal Deepfake Detection with Late-Fusion","display_name":"Generalizable Spatiotemporal Deepfake Detection with Late-Fusion","publication_year":2024,"publication_date":"2024-11-12","ids":{"openalex":"https://openalex.org/W4405907492","doi":"https://doi.org/10.1109/icspis63676.2024.10812603"},"language":"en","primary_location":{"id":"doi:10.1109/icspis63676.2024.10812603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspis63676.2024.10812603","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Signal Processing and Information Security (ICSPIS)","raw_type":"proceedings-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/A5093294200","display_name":"Hamad Rashed Alfalasi","orcid":null},"institutions":[{"id":"https://openalex.org/I29891158","display_name":"University of Sharjah","ror":"https://ror.org/00engpz63","country_code":"AE","type":"education","lineage":["https://openalex.org/I29891158"]}],"countries":["AE"],"is_corresponding":true,"raw_author_name":"Hamad Rashed Alfalasi","raw_affiliation_strings":["University Of Sharjah,Department Of Computer Science,Sharjah,United Arab Emirates"],"affiliations":[{"raw_affiliation_string":"University Of Sharjah,Department Of Computer Science,Sharjah,United Arab Emirates","institution_ids":["https://openalex.org/I29891158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090355098","display_name":"Mohamed Hashem","orcid":"https://orcid.org/0000-0001-7611-9540"},"institutions":[{"id":"https://openalex.org/I29891158","display_name":"University of Sharjah","ror":"https://ror.org/00engpz63","country_code":"AE","type":"education","lineage":["https://openalex.org/I29891158"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Ibrahim Abaker Hashem","raw_affiliation_strings":["University Of Sharjah,Department Of Computer Science,Sharjah,United Arab Emirates"],"affiliations":[{"raw_affiliation_string":"University Of Sharjah,Department Of Computer Science,Sharjah,United Arab Emirates","institution_ids":["https://openalex.org/I29891158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079773687","display_name":"Osman Abul","orcid":"https://orcid.org/0000-0002-9284-6112"},"institutions":[{"id":"https://openalex.org/I29891158","display_name":"University of Sharjah","ror":"https://ror.org/00engpz63","country_code":"AE","type":"education","lineage":["https://openalex.org/I29891158"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Osman Abul","raw_affiliation_strings":["University Of Sharjah,Department Of Computer Science,Sharjah,United Arab Emirates"],"affiliations":[{"raw_affiliation_string":"University Of Sharjah,Department Of Computer Science,Sharjah,United Arab Emirates","institution_ids":["https://openalex.org/I29891158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5093294200"],"corresponding_institution_ids":["https://openalex.org/I29891158"],"apc_list":null,"apc_paid":null,"fwci":0.275,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58509767,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9865000247955322,"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":0.9865000247955322,"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":0.9815000295639038,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9768999814987183,"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/fusion","display_name":"Fusion","score":0.6264462471008301},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5835352540016174},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4665614664554596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33230745792388916}],"concepts":[{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.6264462471008301},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5835352540016174},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4665614664554596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33230745792388916},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspis63676.2024.10812603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspis63676.2024.10812603","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Signal Processing and Information Security (ICSPIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.41999998688697815,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2982058372","https://openalex.org/W3017837134","https://openalex.org/W3034552680","https://openalex.org/W3034795015","https://openalex.org/W3154326567","https://openalex.org/W3173581984","https://openalex.org/W3174508664","https://openalex.org/W3179508259","https://openalex.org/W3191630110","https://openalex.org/W3196204467","https://openalex.org/W3203673582","https://openalex.org/W4200606280","https://openalex.org/W4213187648","https://openalex.org/W4283712107","https://openalex.org/W4313511642","https://openalex.org/W4317796367","https://openalex.org/W4317987748","https://openalex.org/W4322576470","https://openalex.org/W4361003656","https://openalex.org/W4381302520","https://openalex.org/W4388581891","https://openalex.org/W4390189859","https://openalex.org/W4391136344","https://openalex.org/W4391685359","https://openalex.org/W6856735691"],"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/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Recently,":[0],"deepfakes":[1],"have":[2,49],"been":[3,50],"spreading":[4],"at":[5],"an":[6],"alarming":[7],"rate,":[8],"raising":[9],"concerns":[10],"about":[11],"trust":[12],"and":[13,63,84,91,139,151,156,166,189],"privacy":[14],"in":[15,130],"social":[16],"media,":[17],"where":[18,81,146,159],"misinformation":[19],"is":[20,72,104,120,149,161],"easily":[21],"spread.":[22],"Deepfakes":[23],"can":[24],"be":[25],"used":[26,135],"for":[27,33],"various":[28],"malicious":[29],"reasons,":[30],"such":[31,94],"as":[32,95],"manipulating":[34],"criminal":[35],"evidence,":[36],"blackmailing,":[37],"or":[38,98],"even":[39],"identity":[40],"theft.":[41],"To":[42],"combat":[43],"this,":[44],"many":[45],"deepfake":[46,64],"detection":[47],"models":[48,54],"developed.":[51],"However,":[52],"these":[53],"often":[55],"struggle":[56],"with":[57],"poor":[58],"generalizability":[59],"across":[60],"different":[61],"datasets":[62,134],"types.":[65],"In":[66],"this":[67],"paper,":[68],"a":[69,78,82,85,105,121,131],"spatiotemporal":[70],"model":[71,148,178],"proposed":[73],"to":[74,172],"enhance":[75],"generalization,":[76],"using":[77],"late-fusion":[79],"scheme":[80],"spatial":[83,90,102,113],"temporal":[86,92,118],"module":[87,103,119],"separately":[88],"analyze":[89],"features,":[93],"inconsistent":[96],"lighting":[97],"color":[99],"discrepancy.":[100],"The":[101,117,133,141,177],"Multi-Scale":[106],"Vision":[107],"Transformer":[108,123],"(MViTv2),":[109],"which":[110,124],"focuses":[111,125],"on":[112,126,153,163,168,187,191],"anomalies":[114],"within":[115],"frames.":[116],"Temporal":[122],"inconsistencies":[127],"between":[128],"frames":[129],"video.":[132],"are":[136],"FaceForensics++":[137],"(FF++)":[138],"CelebDF.":[140,192],"experiments":[142],"include":[143],"intra-dataset":[144],"evaluations,":[145,158],"the":[147,174],"trained":[150,162,186],"tested":[152,167,190],"one":[154,164],"dataset,":[155],"cross-dataset":[157],"it":[160],"dataset":[165],"another,":[169],"enabling":[170],"us":[171],"measure":[173],"model\u2019s":[175],"generalizability.":[176],"outperforms":[179],"state-of-the-art":[180],"models,":[181],"achieving":[182],"91.0%":[183],"AUC":[184],"when":[185],"FF++c23":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
