{"id":"https://openalex.org/W7153131638","doi":"https://doi.org/10.1186/s13677-026-00898-2","title":"Cross-modal deepfake detection: integrating textual and frequency domains","display_name":"Cross-modal deepfake detection: integrating textual and frequency domains","publication_year":2026,"publication_date":"2026-04-10","ids":{"openalex":"https://openalex.org/W7153131638","doi":"https://doi.org/10.1186/s13677-026-00898-2"},"language":"en","primary_location":{"id":"doi:10.1186/s13677-026-00898-2","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13677-026-00898-2","pdf_url":null,"source":{"id":"https://openalex.org/S2486819371","display_name":"Journal of Cloud Computing Advances Systems and Applications","issn_l":"2192-113X","issn":["2192-113X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Cloud Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1186/s13677-026-00898-2","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018263009","display_name":"Jingfei Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingfei Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, 210094, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, 210094, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107578019","display_name":"Xun Che","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xun Che","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, 210094, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, 210094, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133374726","display_name":"Kaiwen Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiwen Xu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, 210094, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, 210094, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127284209","display_name":"Xiyuan Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiyuan Hu","raw_affiliation_strings":["College of Computer Science, Beijing University of Technology, Beijing, 100124, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Beijing University of Technology, Beijing, 100124, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5133349931","display_name":"Qianmu Li","orcid":null},"institutions":[{"id":"https://openalex.org/I3129293551","display_name":"Tarim University","ror":"https://ror.org/05202v862","country_code":"CN","type":"education","lineage":["https://openalex.org/I3129293551"]},{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianmu Li","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, 210094, China","School of Cybersecurity, Tarim University, Alar City, Xinjiang, 843300, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, 210094, China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"School of Cybersecurity, Tarim University, Alar City, Xinjiang, 843300, China","institution_ids":["https://openalex.org/I3129293551"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5107578019"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":{"value":990,"currency":"GBP","value_usd":1214},"apc_paid":{"value":990,"currency":"GBP","value_usd":1214},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.58719398,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":"1","first_page":null,"last_page":null},"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":0.8593000173568726,"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":0.8593000173568726,"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":0.049400001764297485,"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":0.01590000092983246,"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/pooling","display_name":"Pooling","score":0.7594000101089478},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5843999981880188},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5598000288009644},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.49140000343322754},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.48829999566078186},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.47620001435279846},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.3709000051021576},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.36230000853538513}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8125},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7594000101089478},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5843999981880188},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5598000288009644},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.49140000343322754},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.48829999566078186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4796000123023987},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.47620001435279846},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.3709000051021576},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.36230000853538513},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.33980000019073486},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.32710000872612},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.32089999318122864},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.3199999928474426},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.30410000681877136},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.302700012922287},{"id":"https://openalex.org/C134537474","wikidata":"https://www.wikidata.org/wiki/Q17144832","display_name":"Naturalness","level":2,"score":0.302700012922287},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2888000011444092},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.28870001435279846},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.28209999203681946},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28189998865127563},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2791000008583069},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2752000093460083},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2687999904155731},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2524000108242035}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13677-026-00898-2","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13677-026-00898-2","pdf_url":null,"source":{"id":"https://openalex.org/S2486819371","display_name":"Journal of Cloud Computing Advances Systems and Applications","issn_l":"2192-113X","issn":["2192-113X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Cloud Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9f9219297c87473e87ffc3354bc20f8f","is_oa":true,"landing_page_url":"https://doaj.org/article/9f9219297c87473e87ffc3354bc20f8f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Cloud Computing: Advances, Systems and Applications, Vol 15, Iss 1 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13677-026-00898-2","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13677-026-00898-2","pdf_url":null,"source":{"id":"https://openalex.org/S2486819371","display_name":"Journal of Cloud Computing Advances Systems and Applications","issn_l":"2192-113X","issn":["2192-113X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Cloud Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W2531409750","https://openalex.org/W2891145043","https://openalex.org/W2913399670","https://openalex.org/W2942074357","https://openalex.org/W2963720850","https://openalex.org/W2982058372","https://openalex.org/W3034713808","https://openalex.org/W3034900344","https://openalex.org/W3092879151","https://openalex.org/W3094728142","https://openalex.org/W3154326567","https://openalex.org/W3162424205","https://openalex.org/W3174508664","https://openalex.org/W3176241004","https://openalex.org/W3183999072","https://openalex.org/W3196204467","https://openalex.org/W4206119910","https://openalex.org/W4312967678","https://openalex.org/W4313427335","https://openalex.org/W4322576470","https://openalex.org/W4377231695","https://openalex.org/W4380631680","https://openalex.org/W4381140704","https://openalex.org/W4382655513","https://openalex.org/W4385486377","https://openalex.org/W4385501912","https://openalex.org/W4386072334","https://openalex.org/W4386076635","https://openalex.org/W4390872011","https://openalex.org/W4390872362","https://openalex.org/W4391707556","https://openalex.org/W4391952560","https://openalex.org/W4394784221","https://openalex.org/W4398238196","https://openalex.org/W4399849562","https://openalex.org/W4401070836","https://openalex.org/W4401942456","https://openalex.org/W4401979958","https://openalex.org/W4403605016","https://openalex.org/W4404954991","https://openalex.org/W4404970528","https://openalex.org/W4405141843","https://openalex.org/W4405598593","https://openalex.org/W4407614725","https://openalex.org/W4410562361","https://openalex.org/W4410854201","https://openalex.org/W4412630015","https://openalex.org/W4413127974","https://openalex.org/W4415428155","https://openalex.org/W4415481237"],"related_works":[],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,18,73,163,181],"generative":[3],"models":[4,63],"have":[5],"enabled":[6],"visually":[7],"convincing":[8],"deepfake":[9,71],"images,":[10],"raising":[11],"urgent":[12],"concerns":[13],"for":[14,68,146,175],"trustworthy":[15],"multimedia":[16],"services":[17],"cloud-enabled":[19],"platforms.":[20],"Most":[21],"existing":[22],"detectors":[23],"rely":[24],"on":[25,152],"uni-modal":[26],"spatial":[27,137],"or":[28,42],"frequency":[29,94],"cues":[30],"and":[31,122,131,139,165,177],"thus":[32],"generalize":[33],"poorly":[34],"when":[35],"the":[36,118,123,169],"forgery":[37],"distribution":[38],"shifts":[39],"across":[40],"datasets":[41],"unseen":[43],"generators.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48],"propose":[49],"CMITF":[50,76,157],"(Cross-Modal":[51],"Integration":[52],"of":[53,171],"Textual-Frequency),":[54],"a":[55,78,92,106],"collaborative":[56],"intelligence":[57],"framework":[58],"that":[59,156],"synergizes":[60],"large":[61,119],"pre-trained":[62],"with":[64],"lightweight":[65,128],"task-specific":[66],"modules":[67],"robust,":[69],"transferable":[70],"detection":[72],"cloud":[74,148],"environments.":[75],"leverages":[77],"large-scale":[79],"vision-language":[80],"model":[81,121,173],"(CLIP)":[82],"to":[83,142],"extract":[84],"rich":[85],"textual":[86],"embeddings":[87],"from":[88],"ClipCap-generated":[89],"captions,":[90],"while":[91],"compact":[93,144],"encoder":[95],"captures":[96],"DCT-based":[97],"high-frequency":[98],"representations.":[99],"The":[100],"two":[101],"modalities":[102],"are":[103],"aligned":[104],"via":[105],"correlation-driven":[107],"Cross-modal":[108],"Complementary":[109],"Feature":[110,129],"Alignment":[111],"(CCFA)":[112],"module,":[113],"enabling":[114],"efficient":[115],"collaboration":[116],"between":[117],"semantic":[120],"small":[124],"frequency-domain":[125],"detector.":[126],"A":[127],"Aggregation":[130],"Classification":[132],"(FAC)":[133],"module":[134],"further":[135],"applies":[136],"attention":[138],"global":[140],"pooling":[141],"produce":[143],"representations":[145],"resource-efficient":[147],"deployment.":[149],"Extensive":[150],"experiments":[151],"widely-used":[153],"benchmarks":[154],"demonstrate":[155],"consistently":[158],"outperforms":[159],"state-of-the-art":[160],"methods,":[161],"particularly":[162],"cross-dataset":[164],"cross-compression":[166],"scenarios,":[167],"showcasing":[168],"effectiveness":[170],"large-small":[172],"synergy":[174],"scalable":[176],"reliable":[178],"content":[179],"authentication":[180],"cloud-based":[182],"media":[183],"processing":[184],"pipelines.":[185]},"counts_by_year":[],"updated_date":"2026-05-27T09:02:27.158192","created_date":"2026-04-11T00:00:00"}
