{"id":"https://openalex.org/W7127077361","doi":"https://doi.org/10.21467/proceedings.7.6.42","title":"Enhancing Deepfake Detection Using Attention Mechanisms in Image Classification","display_name":"Enhancing Deepfake Detection Using Attention Mechanisms in Image Classification","publication_year":2025,"publication_date":"2025-11-21","ids":{"openalex":"https://openalex.org/W7127077361","doi":"https://doi.org/10.21467/proceedings.7.6.42"},"language":"en","primary_location":{"id":"doi:10.21467/proceedings.7.6.42","doi":"https://doi.org/10.21467/proceedings.7.6.42","is_oa":true,"landing_page_url":"https://doi.org/10.21467/proceedings.7.6.42","pdf_url":"https://proceedings.aijr.org/index.php/ap/article/download/98/77","source":{"id":"https://openalex.org/S4210240747","display_name":"AIJR Proceedings","issn_l":"2582-3922","issn":["2582-3922"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AIJR Proceedings","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://proceedings.aijr.org/index.php/ap/article/download/98/77","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063443253","display_name":"Kavita Sultanpure","orcid":"https://orcid.org/0000-0003-1594-0110","observed_orcids":["https://orcid.org/0000-0003-1594-0110"]},"institutions":[{"id":"https://openalex.org/I4405261743","display_name":"Vishwakarma Institute of Technology","ror":"https://ror.org/05sj18h57","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405261743"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kavita Sultanpure","raw_affiliation_strings":["Information Technology Vishwakarma Institute of Technology Pune, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology Vishwakarma Institute of Technology Pune, India","institution_ids":["https://openalex.org/I4405261743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114478540","display_name":"Prajakta Kumbhare","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405261743","display_name":"Vishwakarma Institute of Technology","ror":"https://ror.org/05sj18h57","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405261743"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prajakta Kumbhare","raw_affiliation_strings":["Information Technology Vishwakarma Institute of Technology Pune, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology Vishwakarma Institute of Technology Pune, India","institution_ids":["https://openalex.org/I4405261743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098976191","display_name":"Jay Kumawat","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405261743","display_name":"Vishwakarma Institute of Technology","ror":"https://ror.org/05sj18h57","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405261743"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jay Kumavat","raw_affiliation_strings":["Information Technology Vishwakarma Institute of Technology Pune, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology Vishwakarma Institute of Technology Pune, India","institution_ids":["https://openalex.org/I4405261743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124755443","display_name":"Nidhi Karkera","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405261743","display_name":"Vishwakarma Institute of Technology","ror":"https://ror.org/05sj18h57","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405261743"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nidhi Karkera","raw_affiliation_strings":["Information Technology Vishwakarma Institute of Technology Pune, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology Vishwakarma Institute of Technology Pune, India","institution_ids":["https://openalex.org/I4405261743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118782201","display_name":"Mandar Mahapure","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405261743","display_name":"Vishwakarma Institute of Technology","ror":"https://ror.org/05sj18h57","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405261743"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mandar Mahapure","raw_affiliation_strings":["Information Technology Vishwakarma Institute of Technology Pune, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology Vishwakarma Institute of Technology Pune, India","institution_ids":["https://openalex.org/I4405261743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124774652","display_name":"Ameya Pathak","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405261743","display_name":"Vishwakarma Institute of Technology","ror":"https://ror.org/05sj18h57","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405261743"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ameya Pathak","raw_affiliation_strings":["Information Technology Vishwakarma Institute of Technology Pune, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology Vishwakarma Institute of Technology Pune, India","institution_ids":["https://openalex.org/I4405261743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4405261743"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.52813403,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7 (6)","issue":null,"first_page":"370","last_page":"376"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":1.0,"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":1.0,"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":0.0,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.0,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deepfake-detection","display_name":"deepfake detection","score":1.0},{"id":"https://openalex.org/keywords/attention-mechanism","display_name":"attention mechanism","score":0.8299999833106995},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.8339999914169312},{"id":"https://openalex.org/keywords/image-forgery-detection","display_name":"image forgery detection","score":0.7269999980926514},{"id":"https://openalex.org/keywords/facial-landmark-detection","display_name":"facial landmark detection","score":0.7009999752044678},{"id":"https://openalex.org/keywords/image-preprocessing","display_name":"image preprocessing","score":0.8349999785423279},{"id":"https://openalex.org/keywords/manipulated-media","display_name":"manipulated media","score":0.48500001430511475},{"id":"https://openalex.org/keywords/image-classification","display_name":"image classification","score":0.3889999985694885}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7946000099182129},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7720000147819519},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6647999882698059},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6610999703407288},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5895000100135803},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5378999710083008},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48989999294281006},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.48500001430511475},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44749999046325684},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.42809998989105225},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.423799991607666},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.37220001220703125},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3562000095844269},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.34940001368522644},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.29980000853538513},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.29190000891685486},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.28790000081062317},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.2849999964237213},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.26840001344680786},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.2621999979019165},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2621999979019165}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21467/proceedings.7.6.42","doi":"https://doi.org/10.21467/proceedings.7.6.42","is_oa":true,"landing_page_url":"https://doi.org/10.21467/proceedings.7.6.42","pdf_url":"https://proceedings.aijr.org/index.php/ap/article/download/98/77","source":{"id":"https://openalex.org/S4210240747","display_name":"AIJR Proceedings","issn_l":"2582-3922","issn":["2582-3922"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AIJR Proceedings","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.21467/proceedings.7.6.42","doi":"https://doi.org/10.21467/proceedings.7.6.42","is_oa":true,"landing_page_url":"https://doi.org/10.21467/proceedings.7.6.42","pdf_url":"https://proceedings.aijr.org/index.php/ap/article/download/98/77","source":{"id":"https://openalex.org/S4210240747","display_name":"AIJR Proceedings","issn_l":"2582-3922","issn":["2582-3922"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AIJR Proceedings","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7127077361.pdf","grobid_xml":"https://content.openalex.org/works/W7127077361.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4410859090","https://openalex.org/W4391316639","https://openalex.org/W4411215249","https://openalex.org/W4386212537","https://openalex.org/W4416583327","https://openalex.org/W3174508664","https://openalex.org/W4410253117","https://openalex.org/W7125021049","https://openalex.org/W4404031460","https://openalex.org/W4402351830"],"abstract_inverted_index":{"Deepfake":[0],"technology,":[1],"where":[2],"artificial":[3],"intelligence":[4],"is":[5,16,28,53],"used":[6,94],"in":[7,66],"order":[8],"to":[9,20,69,78,95],"generate":[10],"highly":[11],"realistic":[12],"manipulated":[13],"media,":[14],"still":[15],"a":[17,48,106],"severe":[18],"threat":[19],"digital":[21],"media":[22],"authenticity.":[23],"Detection":[24],"of":[25,31,99,108,118],"most":[26,33],"deepfakes":[27],"really":[29],"one":[30],"the":[32,97,100,116,119,124],"prominent":[34],"computer":[35],"vision":[36],"tasks":[37],"that":[38],"we":[39,46],"have":[40],"at":[41],"present.":[42],"In":[43],"this":[44],"paper,":[45],"propose":[47],"specific":[49],"deepfake":[50],"detector.":[51],"It":[52],"an":[54,63,132],"attention":[55,64],"and":[56,82,90,110,131],"convolutional":[57],"neural":[58],"network":[59,68],"(CNN).":[60],"We":[61,113],"employ":[62],"layer":[65],"our":[67],"enable":[70],"better":[71],"salient":[72],"detail":[73],"representation":[74],"along":[75],"with":[76],"trying":[77],"distinguish":[79],"between":[80],"forged":[81,111],"original":[83,109],"images.":[84,112],"Metrics":[85],"including":[86],"accuracy,":[87],"precision,":[88],"recall,":[89],"F1-score":[91],"are":[92],"measures":[93],"determine":[96],"performance":[98,117],"model":[101,120],"after":[102],"its":[103],"training":[104],"on":[105],"dataset":[107],"additionally":[114],"show":[115],"by":[121],"greatly":[122],"improving":[123],"predictive":[125],"outputs":[126],"through":[127],"face":[128],"landmark":[129],"detection":[130],"image":[133],"preprocessing":[134],"pipeline.":[135]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-02-03T00:00:00"}
