{"id":"https://openalex.org/W2943520232","doi":"https://doi.org/10.1145/3297280.3297410","title":"GAN is a friend or foe?","display_name":"GAN is a friend or foe?","publication_year":2019,"publication_date":"2019-04-08","ids":{"openalex":"https://openalex.org/W2943520232","doi":"https://doi.org/10.1145/3297280.3297410","mag":"2943520232"},"language":"en","primary_location":{"id":"doi:10.1145/3297280.3297410","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3297280.3297410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing","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/A5003311970","display_name":"Shahroz Tariq","orcid":"https://orcid.org/0000-0001-9090-0579"},"institutions":[{"id":"https://openalex.org/I4210116376","display_name":"SUNY Korea","ror":"https://ror.org/02d07gm56","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210116376"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Shahroz Tariq","raw_affiliation_strings":["The State University of New York, Korea (SUNY-Korea), Incheon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State University of New York, Korea (SUNY-Korea), Incheon, South Korea","institution_ids":["https://openalex.org/I4210116376"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100616675","display_name":"Sang Yup Lee","orcid":"https://orcid.org/0000-0003-0599-3091"},"institutions":[{"id":"https://openalex.org/I4210116376","display_name":"SUNY Korea","ror":"https://ror.org/02d07gm56","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210116376"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sangyup Lee","raw_affiliation_strings":["The State University of New York, Korea (SUNY-Korea), Incheon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State University of New York, Korea (SUNY-Korea), Incheon, South Korea","institution_ids":["https://openalex.org/I4210116376"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100670377","display_name":"Hoyoung Kim","orcid":"https://orcid.org/0000-0003-0476-9020"},"institutions":[{"id":"https://openalex.org/I4210116376","display_name":"SUNY Korea","ror":"https://ror.org/02d07gm56","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210116376"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hoyoung Kim","raw_affiliation_strings":["The State University of New York, Korea (SUNY-Korea), Incheon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State University of New York, Korea (SUNY-Korea), Incheon, South Korea","institution_ids":["https://openalex.org/I4210116376"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025174214","display_name":"Youjin Shin","orcid":"https://orcid.org/0000-0001-9046-3145"},"institutions":[{"id":"https://openalex.org/I4210116376","display_name":"SUNY Korea","ror":"https://ror.org/02d07gm56","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210116376"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youjin Shin","raw_affiliation_strings":["The State University of New York, Korea (SUNY-Korea), Incheon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State University of New York, Korea (SUNY-Korea), Incheon, South Korea","institution_ids":["https://openalex.org/I4210116376"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033106393","display_name":"Simon S. Woo","orcid":"https://orcid.org/0000-0002-8983-1542"},"institutions":[{"id":"https://openalex.org/I4210116376","display_name":"SUNY Korea","ror":"https://ror.org/02d07gm56","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210116376"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Simon S. Woo","raw_affiliation_strings":["The State University of New York, Korea (SUNY-Korea), Incheon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State University of New York, Korea (SUNY-Korea), Incheon, South Korea","institution_ids":["https://openalex.org/I4210116376"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210116376"],"apc_list":null,"apc_paid":null,"fwci":3.7584,"has_fulltext":false,"cited_by_count":70,"citation_normalized_percentile":{"value":0.94707753,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1296","last_page":"1303"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9991999864578247,"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":0.9937000274658203,"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":0.8474478721618652},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6770698428153992},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6710452437400818},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6349525451660156},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.6175324320793152},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5795230865478516},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.5767538547515869},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5493773818016052},{"id":"https://openalex.org/keywords/image-editing","display_name":"Image editing","score":0.5051563382148743},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4999349117279053},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.48208433389663696},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4640791416168213},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.42057496309280396},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.34022849798202515},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2650826573371887},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.149275541305542}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8474478721618652},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6770698428153992},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6710452437400818},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6349525451660156},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.6175324320793152},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5795230865478516},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.5767538547515869},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5493773818016052},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.5051563382148743},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4999349117279053},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.48208433389663696},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4640791416168213},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.42057496309280396},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.34022849798202515},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2650826573371887},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.149275541305542},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3297280.3297410","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3297280.3297410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.800000011920929,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1505001684","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1834627138","https://openalex.org/W1985729543","https://openalex.org/W2026394106","https://openalex.org/W2115252128","https://openalex.org/W2130225759","https://openalex.org/W2146534360","https://openalex.org/W2194775991","https://openalex.org/W2295598076","https://openalex.org/W2301937176","https://openalex.org/W2603123944","https://openalex.org/W2794857359","https://openalex.org/W2796347433","https://openalex.org/W2912456866","https://openalex.org/W2949117887","https://openalex.org/W2951583185","https://openalex.org/W2963446712","https://openalex.org/W2963800363","https://openalex.org/W2964081807","https://openalex.org/W3101998545","https://openalex.org/W3102476541","https://openalex.org/W3105567278"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W4320018150","https://openalex.org/W4239582170","https://openalex.org/W2918664383","https://openalex.org/W106056076","https://openalex.org/W4320855730","https://openalex.org/W2135200719"],"abstract_inverted_index":{"Creating":[0],"fake":[1,38,57,61,88,97,137],"images":[2,39,63,98,139],"such":[3],"as":[4,45,103,105],"replacing":[5],"one's":[6],"face":[7,11,62,89,138],"with":[8],"other":[9],"person's":[10],"has":[12],"become":[13],"much":[14],"easier":[15],"due":[16],"to":[17,50,85],"the":[18,125],"advancement":[19],"of":[20,124],"sophisticated":[21],"image":[22,78],"editing":[23],"tools.":[24],"In":[25,72,91,110],"addition,":[26,111],"Generative":[27],"Adversarial":[28],"Networks":[29],"(GANs)":[30],"enable":[31],"creating":[32],"natural":[33],"looking":[34],"human":[35],"faces.":[36],"However,":[37],"can":[40,47,118],"cause":[41],"many":[42],"potential":[43],"problems,":[44],"they":[46],"be":[48],"misused":[49],"abuse":[51],"information,":[52],"hurt":[53],"people,":[54],"and":[55,121,143],"generate":[56],"identification.":[58],"Therefore,":[59],"detecting":[60,96,136],"is":[64],"critical":[65],"for":[66],"protecting":[67],"individuals":[68],"from":[69,101],"various":[70,87],"misuses.":[71],"this":[73],"work,":[74],"we":[75,93,112],"propose":[76],"an":[77],"forensic":[79],"platform":[80],"using":[81],"neural":[82],"networks,":[83],"FakeFaceDetect,":[84],"detect":[86],"images.":[90,127],"particular,":[92],"focus":[94],"on":[95],"automatically":[99],"created":[100,107,140],"GANs":[102],"well":[104],"manually":[106],"by":[108,141],"humans.":[109],"assume":[113],"a":[114],"strong":[115],"adversary":[116],"who":[117],"arbitrarily":[119],"change":[120],"remove":[122],"metadata":[123],"original":[126],"We":[128],"demonstrate":[129],"that":[130],"FakeFaceDetect":[131],"achieves":[132],"high":[133],"accuracy":[134],"in":[135],"humans":[142],"GANs.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
