{"id":"https://openalex.org/W3187013673","doi":"https://doi.org/10.1145/3459212.3459217","title":"Improving Adversarial Attacks on Face Recognition Using a Modified Image Translation Model","display_name":"Improving Adversarial Attacks on Face Recognition Using a Modified Image Translation Model","publication_year":2021,"publication_date":"2021-03-19","ids":{"openalex":"https://openalex.org/W3187013673","doi":"https://doi.org/10.1145/3459212.3459217","mag":"3187013673"},"language":"en","primary_location":{"id":"doi:10.1145/3459212.3459217","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3459212.3459217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 3rd International Conference on Image, Video and Signal Processing","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/A5001651745","display_name":"Zhengwei Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]},{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN","JP"],"is_corresponding":true,"raw_author_name":"Zhengwei Yin","raw_affiliation_strings":["University of Science and Technology of China, China and Hosei University, Japan, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, China and Hosei University, Japan, China","institution_ids":["https://openalex.org/I204291657","https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081467102","display_name":"Kaoru Uchida","orcid":"https://orcid.org/0000-0003-1607-5261"},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kaoru Uchida","raw_affiliation_strings":["Hosei University, Japan, Japan"],"affiliations":[{"raw_affiliation_string":"Hosei University, Japan, Japan","institution_ids":["https://openalex.org/I204291657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081299718","display_name":"Shiping Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["CN","JP"],"is_corresponding":false,"raw_author_name":"Shiping Deng","raw_affiliation_strings":["Hosei University, Japan and University of Science and Technology of China, China, Japan"],"affiliations":[{"raw_affiliation_string":"Hosei University, Japan and University of Science and Technology of China, China, Japan","institution_ids":["https://openalex.org/I204291657","https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5001651745"],"corresponding_institution_ids":["https://openalex.org/I126520041","https://openalex.org/I204291657"],"apc_list":null,"apc_paid":null,"fwci":0.4079,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68373228,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"26","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":1.0,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9581999778747559,"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/adversarial-system","display_name":"Adversarial system","score":0.9409925937652588},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8110969066619873},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6959831714630127},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.6884256601333618},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6577177047729492},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5301386117935181},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5254988670349121},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5101414322853088},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4776443541049957},{"id":"https://openalex.org/keywords/image-translation","display_name":"Image translation","score":0.4475027322769165},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34630337357521057},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.254668265581131}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.9409925937652588},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8110969066619873},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6959831714630127},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.6884256601333618},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6577177047729492},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5301386117935181},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5254988670349121},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5101414322853088},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4776443541049957},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.4475027322769165},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34630337357521057},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.254668265581131},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3459212.3459217","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3459212.3459217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 3rd International Conference on Image, Video and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W2096733369","https://openalex.org/W2243397390","https://openalex.org/W2302255633","https://openalex.org/W2520774990","https://openalex.org/W2762664271","https://openalex.org/W2962700793","https://openalex.org/W2970255644"],"related_works":["https://openalex.org/W2950183588","https://openalex.org/W3080754722","https://openalex.org/W3093978547","https://openalex.org/W3203790781","https://openalex.org/W2997056298","https://openalex.org/W2738001131","https://openalex.org/W4285785480","https://openalex.org/W3127875750","https://openalex.org/W4383221314","https://openalex.org/W2953536436"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"models":[2,115],"have":[3],"been":[4],"widely":[5],"applied":[6],"in":[7,96,139,141],"various":[8],"computer":[9],"vision":[10],"tasks":[11],"because":[12],"of":[13,20,25,89],"their":[14],"remarkable":[15],"achievements.":[16],"However":[17],"the":[18],"appearance":[19],"adversarial":[21,41,77,110],"examples":[22,42],"reveals":[23],"vulnerability":[24],"these":[26],"deep":[27,82],"neural":[28,83],"networks":[29],"(DNNs)":[30],"and":[31,63,79,134],"brings":[32],"security":[33],"problems":[34],"into":[35],"researchers\u2019":[36],"concern.":[37],"Strategies":[38],"on":[39,74,112],"generating":[40],"with":[43,57],"unlimited":[44],"perturbation":[45,59,132,144],"are":[46],"extensively":[47],"explored,":[48],"but":[49],"how":[50],"to":[51,70,93,108,116],"acquire":[52],"a":[53,105,142],"higher":[54],"success":[55],"rate":[56],"limited":[58],"is":[60,64],"still":[61],"unsolved":[62],"comparably":[65],"challenging.":[66],"In":[67],"this":[68],"paper,":[69],"motivate":[71],"more":[72],"research":[73],"defence":[75],"against":[76],"attacks":[78,111],"mechanisms":[80],"inside":[81],"networks,":[84],"we":[85],"propose":[86],"an":[87],"application":[88],"our":[90,125],"BiasGAN":[91,100],"scheme":[92],"face":[94,97,113],"images":[95],"recognition":[98,114],"tasks.":[99],"can":[101,127],"be":[102],"inserted":[103],"as":[104],"preprocesser":[106],"prior":[107],"conducting":[109],"get":[117],"better":[118,137],"attack":[119],"performance.":[120],"Experimental":[121],"results":[122],"demonstrate":[123],"that":[124],"method":[126],"make":[128],"improvements":[129],"at":[130],"different":[131],"levels":[133],"achieve":[135],"even":[136],"performance":[138],"challenges":[140],"low":[143],"range.":[145]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}