{"id":"https://openalex.org/W4408345614","doi":"https://doi.org/10.1109/icassp49660.2025.10888190","title":"Reduced Spatial Dependency for More General Video-level Deepfake Detection","display_name":"Reduced Spatial Dependency for More General Video-level Deepfake Detection","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408345614","doi":"https://doi.org/10.1109/icassp49660.2025.10888190"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888190","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5062868287","display_name":"Beilin Chu","orcid":"https://orcid.org/0000-0002-3024-0983"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Beilin Chu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Cyberspace Security,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Cyberspace Security,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354928","display_name":"Xuan Xu","orcid":"https://orcid.org/0009-0002-8932-621X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Xu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Cyberspace Security,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Cyberspace Security,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100324346","display_name":"Yufei Zhang","orcid":"https://orcid.org/0000-0003-1555-5888"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufei Zhang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Cyberspace Security,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Cyberspace Security,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003269656","display_name":"Weike You","orcid":"https://orcid.org/0000-0002-2642-6005"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weike You","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Cyberspace Security,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Cyberspace Security,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101638562","display_name":"Linna Zhou","orcid":"https://orcid.org/0000-0001-8951-5550"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linna Zhou","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Cyberspace Security,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Cyberspace Security,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5062868287"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":3.4098,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.91552359,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9954000115394592,"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":0.9954000115394592,"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":0.994700014591217,"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":0.9901999831199646,"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":0.7435693740844727},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.7403407096862793},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4032914340496063},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35168737173080444}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7435693740844727},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.7403407096862793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4032914340496063},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35168737173080444}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888190","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.5199999809265137}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322003","display_name":"Ministry of Justice","ror":"https://ror.org/05357zt36"},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2301937176","https://openalex.org/W2903867357","https://openalex.org/W2963616706","https://openalex.org/W2982058372","https://openalex.org/W3034196597","https://openalex.org/W3034552680","https://openalex.org/W3034713808","https://openalex.org/W3034795015","https://openalex.org/W3035524453","https://openalex.org/W3037967553","https://openalex.org/W3094728142","https://openalex.org/W3158353280","https://openalex.org/W3175342695","https://openalex.org/W3196204467","https://openalex.org/W4200635057","https://openalex.org/W4313127140","https://openalex.org/W4392902813","https://openalex.org/W4393150389","https://openalex.org/W6752178629","https://openalex.org/W6756444276","https://openalex.org/W6780851395","https://openalex.org/W6784810453","https://openalex.org/W6839235314"],"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":{"As":[0],"one":[1],"of":[2,39,71,95,142],"the":[3,37,69,72,93,119,138],"prominent":[4],"AI-generated":[5],"content,":[6],"Deepfake":[7],"has":[8,15],"raised":[9],"significant":[10],"safety":[11],"concerns.":[12],"Although":[13],"it":[14],"been":[16],"demonstrated":[17],"that":[18],"temporal":[19,41,60,108,126],"consistency":[20,61],"cues":[21],"offer":[22],"better":[23],"generalization":[24],"capability,":[25],"existing":[26],"methods":[27],"based":[28],"on":[29,74],"CNNs":[30],"inevitably":[31],"introduce":[32],"spatial":[33,75],"bias,":[34],"which":[35,57],"hinders":[36],"extraction":[38],"intrinsic":[40],"features.":[42],"To":[43],"address":[44],"this":[45],"issue,":[46],"we":[47,78,91],"propose":[48,99],"a":[49,100,125],"novel":[50],"method":[51],"called":[52],"Spatial":[53,81],"Dependency":[54],"Reduction":[55],"(SDR),":[56],"integrates":[58],"common":[59],"features":[62,109],"from":[63,115],"multiple":[64,80],"spatially-perturbed":[65,87],"clusters,":[66],"to":[67,85,106,128],"reduce":[68],"dependency":[70],"model":[73],"information.":[76],"Specifically,":[77],"design":[79],"Perturbation":[82],"Branch":[83],"(SPB)":[84],"construct":[86],"feature":[88,121],"clusters.":[89,117],"Subsequently,":[90],"utilize":[92],"theory":[94],"mutual":[96],"information":[97],"and":[98,134,140],"Task-Relevant":[101],"Feature":[102],"Integration":[103],"(TRFI)":[104],"module":[105],"capture":[107,129],"residing":[110],"in":[111],"similar":[112],"latent":[113],"space":[114],"these":[116],"Finally,":[118],"integrated":[120],"is":[122],"fed":[123],"into":[124],"transformer":[127],"long-range":[130],"dependencies.":[131],"Extensive":[132],"benchmarks":[133],"ablation":[135],"studies":[136],"demonstrate":[137],"effectiveness":[139],"rationale":[141],"our":[143],"approach.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}
