{"id":"https://openalex.org/W4403828367","doi":"https://doi.org/10.1145/3702232","title":"AVENUE: A Novel Deepfake Detection Method Based on Temporal Convolutional Network and rPPG Information","display_name":"AVENUE: A Novel Deepfake Detection Method Based on Temporal Convolutional Network and rPPG Information","publication_year":2024,"publication_date":"2024-10-28","ids":{"openalex":"https://openalex.org/W4403828367","doi":"https://doi.org/10.1145/3702232"},"language":"en","primary_location":{"id":"doi:10.1145/3702232","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3702232","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3702232","source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3702232","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028582845","display_name":"Lokendra Birla","orcid":"https://orcid.org/0000-0003-1403-3359"},"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":"Lokendra Birla","raw_affiliation_strings":["Indian Institute of Technology Indore, Indore, India","Indian Institute of Technology Indore, India"],"raw_orcid":"https://orcid.org/0000-0003-1403-3359","affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Indore, Indore, India","institution_ids":["https://openalex.org/I64295750"]},{"raw_affiliation_string":"Indian Institute of Technology Indore, India","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057158473","display_name":"Trishna Saikia","orcid":"https://orcid.org/0000-0002-3052-1689"},"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":"Trishna Saikia","raw_affiliation_strings":["Indian Institute of Technology Indore, Indore, India","Indian Institute of Technology Indore, India"],"raw_orcid":"https://orcid.org/0000-0002-3052-1689","affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Indore, Indore, India","institution_ids":["https://openalex.org/I64295750"]},{"raw_affiliation_string":"Indian Institute of Technology Indore, India","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077664809","display_name":"Puneet Gupta","orcid":"https://orcid.org/0000-0003-3586-9315"},"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":"Puneet Gupta","raw_affiliation_strings":["Indian Institute of Technology Indore, Indore, India","Indian Institute of Technology Indore, India"],"raw_orcid":"https://orcid.org/0000-0003-3586-9315","affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Indore, Indore, India","institution_ids":["https://openalex.org/I64295750"]},{"raw_affiliation_string":"Indian Institute of Technology Indore, India","institution_ids":["https://openalex.org/I64295750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I64295750"],"apc_list":null,"apc_paid":null,"fwci":1.635,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.85202467,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"16","issue":"1","first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9998999834060669,"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":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9977999925613403,"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"}},{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9976000189781189,"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":0.8527172803878784},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7033873200416565},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4829956293106079},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10240492224693298}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8527172803878784},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7033873200416565},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4829956293106079},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10240492224693298}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3702232","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3702232","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3702232","source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3702232","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3702232","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3702232","source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.699999988079071}],"awards":[{"id":"https://openalex.org/G4566248116","display_name":null,"funder_award_id":"2102743","funder_id":"https://openalex.org/F4320322724","funder_display_name":"Ministry of Education, India"}],"funders":[{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403828367.pdf"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W2249069931","https://openalex.org/W2486034530","https://openalex.org/W2525579820","https://openalex.org/W2531409750","https://openalex.org/W2743750471","https://openalex.org/W2754053216","https://openalex.org/W2790030260","https://openalex.org/W2792764867","https://openalex.org/W2794857359","https://openalex.org/W2899293823","https://openalex.org/W2909336075","https://openalex.org/W2911424785","https://openalex.org/W2913399670","https://openalex.org/W2962770929","https://openalex.org/W2963351448","https://openalex.org/W2981523288","https://openalex.org/W2982058372","https://openalex.org/W2995516027","https://openalex.org/W2997517962","https://openalex.org/W3015341856","https://openalex.org/W3021321996","https://openalex.org/W3034713808","https://openalex.org/W3045675435","https://openalex.org/W3091747357","https://openalex.org/W3128609017","https://openalex.org/W3138634820","https://openalex.org/W3166490340","https://openalex.org/W3180726336","https://openalex.org/W3195746634","https://openalex.org/W3199454028","https://openalex.org/W4200617311","https://openalex.org/W4205222302","https://openalex.org/W4214661097","https://openalex.org/W4247924304","https://openalex.org/W4249142012","https://openalex.org/W4254181784","https://openalex.org/W4283817039","https://openalex.org/W4287752100","https://openalex.org/W4287758151","https://openalex.org/W4287758545","https://openalex.org/W4294643831","https://openalex.org/W4317796367","https://openalex.org/W4360838588","https://openalex.org/W4361287653","https://openalex.org/W4376502449","https://openalex.org/W4376530222","https://openalex.org/W4390692050","https://openalex.org/W6629832810","https://openalex.org/W6649490097"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0],"Deep":[1],"Learning":[2],"(DL),":[3],"an":[4],"adversary":[5],"creates":[6],"Deepfakes":[7,16,56],"by":[8,35,95,99,132,197],"manipulating":[9],"facial":[10,100,198],"features":[11],"to":[12,21,120,208],"fool":[13],"someone.":[14],"The":[15,187],"pose":[17],"a":[18,25,203],"security":[19],"threat":[20],"anyone\u2019s":[22],"privacy":[23],"and":[24,39,47,102,116,159,175],"primary":[26],"concern":[27],"for":[28,73,82,184],"our":[29,133,236],"society.":[30],"It":[31,233],"can":[32,70,87],"be":[33,71,88],"detected":[34],"utilizing":[36],"the":[37,43,96,106,122,164,168,171,181,210,218,223,242],"texture":[38],"physiological":[40,80],"properties":[41],"of":[42,125,180,213,230],"face,":[44],"like":[45],"eye":[46],"lip":[48],"movements;":[49],"however,":[50],"such":[51,117],"methods":[52],"are":[53,57,93,110,130,190,194],"incompetent":[54],"when":[55,90],"created":[58],"using":[59,113],"recent":[60],"Generative":[61],"Adversarial":[62],"Networks":[63],"(GAN).":[64],"Alternatively,":[65],"Remote":[66],"Photoplethysmography":[67],"(rPPG)":[68],"information":[69,81,215],"used":[72],"Deepfake":[74,83,108,185,214,231,245],"detection":[75,86,246],"because":[76],"GANs":[77],"neglect":[78],"human":[79],"generation.":[84],"Such":[85],"inaccurate":[89],"rPPG":[91,160,169],"signals":[92],"affected":[94,196],"noises":[97],"induced":[98],"deformation":[101],"illumination":[103],"variations.":[104],"Furthermore,":[105],"exiting":[107],"detections":[109],"usually":[111],"performed":[112,222],"sequential":[114,219],"models,":[115],"models":[118],"fail":[119],"process":[121],"long":[123,211],"sequence":[124,212],"temporal":[126,152],"information.":[127,161],"These":[128],"issues":[129,166],"mitigated":[131],"proposed":[134,172,237],"method":[135,149,173,238],"AVENUE":[136],",":[137],"that":[138,193,235],"is,":[139],"\\(A\\)":[140],"no":[141],"\\(V\\)":[142],"el":[143],"d":[144],"\\(E\\)":[145,157],"epfake":[146],"detectio":[147],"\\(N\\)":[148],"based":[150],"on":[151,226],"convol":[153],"\\(U\\)":[154],"tion":[155],"n":[156],"twork":[158],"For":[162],"mitigating":[163],"noise":[165],"in":[167],"signals,":[170],"detects":[174],"employs":[176],"relatively":[177],"stable":[178,188],"clips":[179,189,192],"input":[182],"video":[183],"detection.":[186],"those":[191],"least":[195],"deformations.":[199],"Also,":[200],"we":[201],"use":[202],"modified":[204],"Temporal":[205],"convolutional":[206],"network":[207],"model":[209],"rather":[216],"than":[217,241],"architectures.":[220],"We":[221],"experimental":[224],"result":[225],"publicly":[227],"available":[228],"datasets":[229],"videos.":[232],"demonstrates":[234],"performs":[239],"better":[240],"existing":[243],"rPPG-based":[244],"methods.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2024-10-29T00:00:00"}
