{"id":"https://openalex.org/W7126260506","doi":"https://doi.org/10.1145/3794846","title":"Enhancing Digital Security: A Novel Dual-Paradigm Approach for Robust Deepfake Detection Using Pre and Post Quantum-Trained Neural Networks","display_name":"Enhancing Digital Security: A Novel Dual-Paradigm Approach for Robust Deepfake Detection Using Pre and Post Quantum-Trained Neural Networks","publication_year":2026,"publication_date":"2026-01-30","ids":{"openalex":"https://openalex.org/W7126260506","doi":"https://doi.org/10.1145/3794846"},"language":"en","primary_location":{"id":"doi:10.1145/3794846","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3794846","pdf_url":null,"source":{"id":"https://openalex.org/S4210235901","display_name":"Digital Threats Research and Practice","issn_l":"2576-5337","issn":["2576-5337","2692-1626"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Digital Threats: Research and Practice","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1145/3794846","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124453624","display_name":"Shashank Gupta","orcid":null},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shashank Gupta","raw_affiliation_strings":["QuNu Labs Pvt. Ltd., Bangalore, India and Indian Institute of Technology, Indore, India"],"raw_orcid":"https://orcid.org/0000-0002-2004-8517","affiliations":[{"raw_affiliation_string":"QuNu Labs Pvt. Ltd., Bangalore, India and Indian Institute of Technology, Indore, India","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080538209","display_name":"Yashas Hariprasad","orcid":"https://orcid.org/0000-0001-7185-8352"},"institutions":[{"id":"https://openalex.org/I184813773","display_name":"California State University, East Bay","ror":"https://ror.org/04jaeba88","country_code":"US","type":"education","lineage":["https://openalex.org/I184813773"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yashas Hariprasad","raw_affiliation_strings":["California State University East Bay, Hayward, California, USA"],"raw_orcid":"https://orcid.org/0000-0001-7185-8352","affiliations":[{"raw_affiliation_string":"California State University East Bay, Hayward, California, USA","institution_ids":["https://openalex.org/I184813773"]}]},{"author_position":"middle","author":{"id":null,"display_name":"S. S. Iyengar","orcid":"https://orcid.org/0000-0003-2944-8178"},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. S. Iyengar","raw_affiliation_strings":["Knight Foundation School of Computing and Information Sciences, Florida International University, Miami, Florida, USA"],"raw_orcid":"https://orcid.org/0000-0003-2944-8178","affiliations":[{"raw_affiliation_string":"Knight Foundation School of Computing and Information Sciences, Florida International University, Miami, Florida, USA","institution_ids":["https://openalex.org/I19700959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116296242","display_name":"Subhash Gurappa","orcid":null},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Subhash Gurappa","raw_affiliation_strings":["Florida International University, Miami, Florida, USA"],"raw_orcid":"https://orcid.org/0009-0003-3002-3959","affiliations":[{"raw_affiliation_string":"Florida International University, Miami, Florida, USA","institution_ids":["https://openalex.org/I19700959"]}]},{"author_position":"last","author":{"id":null,"display_name":"Pronab Mohanty","orcid":"https://orcid.org/0000-0001-6296-0072"},"institutions":[{"id":"https://openalex.org/I2800915623","display_name":"Police Scotland","ror":"https://ror.org/03qgkkv45","country_code":"GB","type":"government","lineage":["https://openalex.org/I2800915623"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pronab Mohanty","raw_affiliation_strings":["Director General of Police, Cyber & Narcotics, IPS, Govt. of India, Bangalore, India"],"raw_orcid":"https://orcid.org/0000-0001-6296-0072","affiliations":[{"raw_affiliation_string":"Director General of Police, Cyber & Narcotics, IPS, Govt. of India, Bangalore, India","institution_ids":["https://openalex.org/I2800915623"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":68.0872,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.99805215,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"7","issue":"1","first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.14509999752044678,"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"}},"topics":[{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.14509999752044678,"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"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.13410000503063202,"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/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.08950000256299973,"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/generalization","display_name":"Generalization","score":0.5361999869346619},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.49639999866485596},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4275999963283539},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.3880000114440918},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.3537999987602234},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.35269999504089355},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3447999954223633},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3379000127315521}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7440999746322632},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5361999869346619},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49959999322891235},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.49639999866485596},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4275999963283539},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4059000015258789},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.3880000114440918},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.3537999987602234},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.35269999504089355},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3447999954223633},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3379000127315521},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3174999952316284},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.3050999939441681},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C2776990098","wikidata":"https://www.wikidata.org/wiki/Q13579947","display_name":"Misinformation","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.27149999141693115},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.2705000042915344},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.2655999958515167},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.2630999982357025},{"id":"https://openalex.org/C2779628075","wikidata":"https://www.wikidata.org/wiki/Q1253258","display_name":"Downgrade","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.25679999589920044},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.25609999895095825},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2531000077724457},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3794846","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3794846","pdf_url":null,"source":{"id":"https://openalex.org/S4210235901","display_name":"Digital Threats Research and Practice","issn_l":"2576-5337","issn":["2576-5337","2692-1626"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Digital Threats: Research and Practice","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3794846","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3794846","pdf_url":null,"source":{"id":"https://openalex.org/S4210235901","display_name":"Digital Threats Research and Practice","issn_l":"2576-5337","issn":["2576-5337","2692-1626"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Digital Threats: Research and Practice","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8126842975616455}],"awards":[],"funders":[{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1965555277","https://openalex.org/W2013576116","https://openalex.org/W2016828421","https://openalex.org/W2046686077","https://openalex.org/W2106609510","https://openalex.org/W2329434622","https://openalex.org/W2559394418","https://openalex.org/W2598783175","https://openalex.org/W2792946961","https://openalex.org/W2806379360","https://openalex.org/W2954939433","https://openalex.org/W2983078099","https://openalex.org/W3045093737","https://openalex.org/W3096052452","https://openalex.org/W3132743969","https://openalex.org/W4392623241","https://openalex.org/W4410849471"],"related_works":[],"abstract_inverted_index":{"The":[0,51,134],"rapid":[1],"rise":[2],"of":[3],"deepfake":[4,33],"technology":[5],"continues":[6],"to":[7,61,84],"challenge":[8],"digital":[9,173],"security,":[10],"trust,":[11],"and":[12,18,57,67,80,109,125,131,167,178],"misinformation":[13],"control":[14],"particularly":[15],"for":[16,147],"celebrities":[17],"public":[19],"figures,":[20],"whose":[21],"identities":[22],"are":[23],"frequently":[24],"exploited.":[25],"This":[26,160],"article":[27],"introduces":[28],"a":[29,38,44,95,144,163],"novel":[30],"dual":[31],"paradigm":[32],"detection":[34,90],"framework":[35],"that":[36,112],"integrates":[37],"classical":[39,52],"attention-enhanced":[40],"EfficientNetB4":[41],"model":[42,86],"with":[43],"Quantum":[45],"Trained":[46],"Convolutional":[47],"Neural":[48],"Network":[49],"(QT-CNN).":[50],"stage":[53],"leverages":[54],"spatial":[55],"attention":[56],"siamese":[58],"feature":[59],"alignment":[60],"highlight":[62],"manipulation":[63],"sensitive":[64],"facial":[65],"regions":[66],"improve":[68],"cross-dataset":[69],"generalization.":[70],"Building":[71],"on":[72,94,122],"this,":[73],"the":[74,113],"QT-CNN":[75,135],"employs":[76],"parameterized":[77],"quantum":[78,168,181],"circuits":[79],"quantum-to-classical":[81],"parameter":[82],"mapping":[83],"reduce":[85],"complexity":[87],"while":[88],"preserving":[89],"accuracy.":[91],"Comprehensive":[92],"experiments":[93],"large-scale":[96],"South":[97],"Asian":[98],"celebrity":[99],"dataset,":[100],"an":[101],"underrepresented":[102],"demographic":[103],"in":[104,150,175],"existing":[105],"benchmarks":[106],"alongside":[107],"FF++":[108],"DFDC,":[110],"demonstrate":[111],"hybrid":[114],"approach":[115],"achieves":[116],"robust":[117],"performance,":[118],"including":[119],"94.5%":[120],"accuracy":[121],"in-distribution":[123],"data":[124],"strong":[126],"generalization":[127],"under":[128],"demographic,":[129],"corruption,":[130],"compression":[132],"shifts.":[133],"further":[136],"reduces":[137],"trainable":[138],"parameters":[139],"by":[140],"nearly":[141],"70%,":[142],"suggesting":[143],"promising":[145],"pathway":[146],"efficient":[148],"deployment":[149],"resource-constrained,":[151],"high-volume":[152],"environments":[153],"such":[154],"as":[155],"social":[156],"media":[157],"moderation":[158],"pipelines.":[159],"work":[161],"contributes":[162],"scalable,":[164],"demographically":[165],"inclusive,":[166],"informed":[169],"methodology":[170],"toward":[171],"securing":[172],"ecosystems":[174],"both":[176],"current":[177],"emerging":[179],"post":[180],"environments.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2026-02-01T00:00:00"}