{"id":"https://openalex.org/W4405181995","doi":"https://doi.org/10.1145/3658644.3670382","title":"The Invisible Polyjuice Potion: an Effective Physical Adversarial Attack against Face Recognition","display_name":"The Invisible Polyjuice Potion: an Effective Physical Adversarial Attack against Face Recognition","publication_year":2024,"publication_date":"2024-12-02","ids":{"openalex":"https://openalex.org/W4405181995","doi":"https://doi.org/10.1145/3658644.3670382"},"language":"en","primary_location":{"id":"doi:10.1145/3658644.3670382","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3658644.3670382","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3658644.3670382","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3658644.3670382","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045109675","display_name":"Ye Wang","orcid":"https://orcid.org/0009-0002-0450-8939"},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ye Wang","raw_affiliation_strings":["The University of Kansas, Lawrence, KS, USA"],"affiliations":[{"raw_affiliation_string":"The University of Kansas, Lawrence, KS, USA","institution_ids":["https://openalex.org/I146416000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082318516","display_name":"Z.Q. Liu","orcid":"https://orcid.org/0009-0004-6841-9702"},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zeyan Liu","raw_affiliation_strings":["The University of Kansas, Lawrence, KS, USA"],"affiliations":[{"raw_affiliation_string":"The University of Kansas, Lawrence, KS, USA","institution_ids":["https://openalex.org/I146416000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052233895","display_name":"Bo Luo","orcid":"https://orcid.org/0000-0001-8196-2436"},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bo Luo","raw_affiliation_strings":["The University of Kansas, Lawrence, KS, USA"],"affiliations":[{"raw_affiliation_string":"The University of Kansas, Lawrence, KS, USA","institution_ids":["https://openalex.org/I146416000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004656782","display_name":"Rongqing Hui","orcid":"https://orcid.org/0000-0002-0710-3518"},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rongqing Hui","raw_affiliation_strings":["The University of Kansas, Lawrence, KS, USA"],"affiliations":[{"raw_affiliation_string":"The University of Kansas, Lawrence, KS, USA","institution_ids":["https://openalex.org/I146416000"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014556254","display_name":"Fengjun Li","orcid":"https://orcid.org/0000-0003-4079-2228"},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fengjun Li","raw_affiliation_strings":["The University of Kansas, Lawrence, KS, USA"],"affiliations":[{"raw_affiliation_string":"The University of Kansas, Lawrence, KS, USA","institution_ids":["https://openalex.org/I146416000"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5045109675"],"corresponding_institution_ids":["https://openalex.org/I146416000"],"apc_list":null,"apc_paid":null,"fwci":0.683,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.77089697,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3346","last_page":"3360"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998999834060669,"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":0.9998999834060669,"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/T11448","display_name":"Face recognition and analysis","score":0.9908000230789185,"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/T10828","display_name":"Biometric Identification and Security","score":0.974399983882904,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8092648983001709},{"id":"https://openalex.org/keywords/agile-software-development","display_name":"Agile software development","score":0.7182067632675171},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6527519226074219},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6173003911972046},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5839765071868896},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.5772342681884766},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5702376365661621},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5479880571365356},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.518379271030426},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4786421060562134},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.22667831182479858},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.10571786761283875}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8092648983001709},{"id":"https://openalex.org/C14185376","wikidata":"https://www.wikidata.org/wiki/Q30232","display_name":"Agile software development","level":2,"score":0.7182067632675171},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6527519226074219},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6173003911972046},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5839765071868896},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.5772342681884766},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5702376365661621},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5479880571365356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.518379271030426},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4786421060562134},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.22667831182479858},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.10571786761283875},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"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},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3658644.3670382","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3658644.3670382","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3658644.3670382","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3658644.3670382","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3658644.3670382","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3658644.3670382","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1048743503","display_name":null,"funder_award_id":"#2014552, #1565570,","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405181995.pdf"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W118835214","https://openalex.org/W1964663508","https://openalex.org/W2019464758","https://openalex.org/W2053491933","https://openalex.org/W2096733369","https://openalex.org/W2180612164","https://openalex.org/W2243397390","https://openalex.org/W2282709619","https://openalex.org/W2295107390","https://openalex.org/W2341528187","https://openalex.org/W2513140567","https://openalex.org/W2535873859","https://openalex.org/W2765793020","https://openalex.org/W2962858109","https://openalex.org/W2963839617","https://openalex.org/W2963857521","https://openalex.org/W2964350391","https://openalex.org/W2969985801","https://openalex.org/W2973021304","https://openalex.org/W3034823537","https://openalex.org/W3097573595","https://openalex.org/W3101998545","https://openalex.org/W3119687891","https://openalex.org/W3164285398","https://openalex.org/W3175215793","https://openalex.org/W3179647175","https://openalex.org/W3196967073","https://openalex.org/W4282936640","https://openalex.org/W4312329299"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W4288019534"],"abstract_inverted_index":{"Face":[0],"recognition":[1,68],"systems":[2],"have":[3,30],"been":[4],"targeted":[5],"by":[6,162],"recent":[7],"physical":[8,62,107,172],"adversarial":[9,63,108],"machine":[10],"learning":[11],"attacks,":[12],"which":[13],"attach":[14],"or":[15,48],"project":[16],"visible":[17],"patterns":[18],"on":[19,39],"adversaries'":[20],"faces":[21],"to":[22,45,90,113,124],"trick":[23],"backend":[24],"FR":[25,182],"models.":[26],"While":[27],"these":[28],"attacks":[29,95],"demonstrated":[31],"effectiveness":[32,187],"in":[33,53,145],"the":[34,87,114,153,186,189],"literature,":[35],"they":[36],"often":[37],"rely":[38],"visibly":[40],"suspicious":[41],"patterns,":[42],"are":[43,122,167],"susceptible":[44],"environmental":[46],"noise,":[47],"exhibit":[49],"limited":[50],"success":[51],"rates":[52],"practice.":[54],"In":[55],"this":[56],"paper,":[57],"we":[58,103],"propose":[59],"a":[60,135],"novel":[61],"attack":[64,120,159,164,173],"against":[65,96,180],"deep":[66],"face":[67,137],"systems,":[69],"namely":[70],"Agile":[71,141,190],"(Adversarial":[72],"Glasses":[73],"with":[74,131,170],"Infrared":[75],"LasEr).":[76],"It":[77],"generates":[78],"adjustable,":[79],"invisible":[80],"laser":[81,127],"perturbations":[82,109],"and":[83,93,110,134,148,157,177],"emits":[84],"them":[85,112],"into":[86],"camera":[88],"CMOS":[89],"launch":[91],"dodging":[92],"impersonation":[94,149,155],"facial":[97],"biometrics":[98],"systems.":[99],"To":[100],"do":[101],"so,":[102],"first":[104],"theoretically":[105],"model":[106],"convert":[111],"digital":[115],"domain.":[116],"The":[117,175],"generated":[118],"synthesized":[119],"signals":[121],"utilized":[123],"guide":[125],"real-world":[126,132,171],"settings.":[128],"Our":[129],"experiments":[130],"attackers":[133],"benchmark":[136],"database":[138],"show":[139],"that":[140],"is":[142],"highly":[143,168],"effective":[144],"DoS,":[146],"dodging,":[147],"attacks.":[150],"More":[151],"importantly,":[152],"candidate":[154],"target":[156],"optimal":[158],"settings":[160],"identified":[161],"Agile's":[163],"synthesis":[165],"approach":[166],"consistent":[169],"results.":[174],"grey-box":[176],"black-box":[178],"evaluation":[179],"commercial":[181],"models":[183],"also":[184],"confirms":[185],"of":[188],"attack.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
