{"id":"https://openalex.org/W3094477634","doi":"https://doi.org/10.1109/icccnt49239.2020.9225400","title":"Employing Transfer-Learning based CNN architectures to Enhance the Generalizability of Deepfake Detection","display_name":"Employing Transfer-Learning based CNN architectures to Enhance the Generalizability of Deepfake Detection","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3094477634","doi":"https://doi.org/10.1109/icccnt49239.2020.9225400","mag":"3094477634"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt49239.2020.9225400","doi":"https://doi.org/10.1109/icccnt49239.2020.9225400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt49239.2020.9225400","pdf_url":null,"source":{"id":"https://openalex.org/S4306497833","display_name":"International Conference on Computing, Communication and Networking Technologies (ICCCNT)","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5089230620","display_name":"Shraddha S. Suratkar","orcid":"https://orcid.org/0000-0002-5983-0098","observed_orcids":["https://orcid.org/0000-0002-5983-0098"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shraddha Suratkar","raw_affiliation_strings":["V.J.T.I., Mumbai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"V.J.T.I., Mumbai, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000766488","display_name":"Elvin Johnson","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Elvin Johnson","raw_affiliation_strings":["V.J.T.I., Mumbai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"V.J.T.I., Mumbai, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008340103","display_name":"Karan Variyambat","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Karan Variyambat","raw_affiliation_strings":["V.J.T.I., Mumbai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"V.J.T.I., Mumbai, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104169754","display_name":"Mihir Panchal","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mihir Panchal","raw_affiliation_strings":["V.J.T.I., Mumbai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"V.J.T.I., Mumbai, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000629645","display_name":"Faruk Kazi","orcid":"https://orcid.org/0000-0002-6551-3021","observed_orcids":["https://orcid.org/0000-0002-6551-3021","https://orcid.org/0009-0007-3212-7718"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Faruk Kazi","raw_affiliation_strings":["V.J.T.I., Mumbai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"V.J.T.I., Mumbai, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6623,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.76464124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"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/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"}},{"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deepfake-detection","display_name":"deepfake detection","score":0.9959999918937683},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.9120000004768372},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.9929999709129333},{"id":"https://openalex.org/keywords/generative-adversarial-networks","display_name":"generative adversarial networks","score":0.9440000057220459},{"id":"https://openalex.org/keywords/video-manipulation","display_name":"video manipulation","score":0.6320000290870667},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.45899999141693115},{"id":"https://openalex.org/keywords/misinformation","display_name":"misinformation","score":0.3089999854564667},{"id":"https://openalex.org/keywords/national-security","display_name":"national security","score":0.5400000214576721}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.833987832069397},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.7763768434524536},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.752895712852478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6864792108535767},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6719022989273071},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5624278783798218},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5598362684249878},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5529565215110779},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5317009687423706},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5248669981956482},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45667147636413574},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.45444637537002563},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.41354167461395264},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.25545936822891235},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1095266342163086},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt49239.2020.9225400","doi":"https://doi.org/10.1109/icccnt49239.2020.9225400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt49239.2020.9225400","pdf_url":null,"source":{"id":"https://openalex.org/S4306497833","display_name":"International Conference on Computing, Communication and Networking Technologies (ICCCNT)","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2099471712","https://openalex.org/W2108598243","https://openalex.org/W2115252128","https://openalex.org/W2149933564","https://openalex.org/W2165698076","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2486034530","https://openalex.org/W2531409750","https://openalex.org/W2612445135","https://openalex.org/W2736941579","https://openalex.org/W2891145043","https://openalex.org/W2891547264","https://openalex.org/W2898877033","https://openalex.org/W2902889463","https://openalex.org/W2911424785","https://openalex.org/W2912336782","https://openalex.org/W2914447220","https://openalex.org/W2942074357","https://openalex.org/W2963684180","https://openalex.org/W2964121744","https://openalex.org/W2980459401","https://openalex.org/W3038022805","https://openalex.org/W4255421341","https://openalex.org/W4320013936"],"related_works":["https://openalex.org/W3128565165","https://openalex.org/W4304185375","https://openalex.org/W7128595744","https://openalex.org/W3175407091","https://openalex.org/W4390992962","https://openalex.org/W3033415056","https://openalex.org/W7217921192","https://openalex.org/W4408717098","https://openalex.org/W4312399569","https://openalex.org/W4391136344"],"abstract_inverted_index":{"Advancements":[0],"in":[1,28,74,147],"machine":[2,45],"learning":[3,46],"have":[4],"given":[5],"rise":[6],"to":[7,15,58,77,91,104,114,150,157],"technologies":[8],"and":[9,40,62,81,94,124,162],"methodologies":[10],"that":[11,137,155],"are":[12,33,55],"being":[13,56],"put":[14],"use":[16],"for":[17,101,141],"immoral":[18],"purposes,":[19],"especially":[20],"after":[21],"the":[22,126],"inception":[23],"of":[24,35,49,128,173],"Generative":[25,30],"Adversarial":[26,31],"Networks":[27,32],"2014.":[29],"capable":[34,48],"synthesizing":[36],"hyper-realistic":[37],"fake":[38,107,117],"images":[39],"even":[41],"videos.":[42,108,164],"Various":[43],"sophisticated":[44],"techniques":[47],"creating":[50],"ultra-realistic":[51],"Deep":[52],"Fake":[53],"videos":[54,118,175],"used":[57],"harass,":[59],"blackmail":[60],"women":[61],"children,":[63],"induce":[64],"political":[65,79],"instability":[66],"by":[67,119],"spreading":[68],"false,":[69],"malicious":[70],"propaganda":[71],"which":[72,99],"could":[73],"turn":[75],"lead":[76],"social,":[78],"conflicts":[80],"outbursts":[82],"with":[83],"dire":[84],"consequences.":[85],"This":[86,109],"poses":[87],"a":[88,112,121,139,148,152],"serious":[89],"threat":[90],"personal":[92],"safety":[93],"also":[95],"endangers":[96],"national":[97],"security":[98],"calls":[100],"automated":[102],"ways":[103],"detect":[105],"deep":[106],"paper":[110],"proposes":[111],"method":[113,166],"expose":[115],"such":[116],"using":[120],"CNN":[122,140],"architecture":[123],"leveraging":[125],"technique":[127],"Transfer":[129],"Learning.":[130],"The":[131,165],"proposed":[132],"model":[133],"implements":[134],"an":[135,170],"algorithm":[136],"uses":[138],"feature":[142],"extraction":[143],"from":[144,177],"every":[145],"frame":[146],"video":[149],"train":[151],"binary":[153],"classifier":[154],"learns":[156],"efficiently":[158],"differentiate":[159],"between":[160],"real":[161],"manipulated":[163],"is":[167],"evaluated":[168],"against":[169],"extensive":[171],"set":[172],"deepfake":[174],"gathered":[176],"various":[178],"datasets.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2020-10-29T00:00:00"}
