{"id":"https://openalex.org/W7135091924","doi":"https://doi.org/10.1109/clei67442.2025.11420307","title":"Using Deep-Learning Models for Face-Detection to Provide Privacy Information for Identity Protection","display_name":"Using Deep-Learning Models for Face-Detection to Provide Privacy Information for Identity Protection","publication_year":2025,"publication_date":"2025-10-27","ids":{"openalex":"https://openalex.org/W7135091924","doi":"https://doi.org/10.1109/clei67442.2025.11420307"},"language":null,"primary_location":{"id":"doi:10.1109/clei67442.2025.11420307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/clei67442.2025.11420307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 LI Latin American Computer Conference (CLEI)","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/A5128919709","display_name":"Javier Cordero-Quir\u00f3s","orcid":null},"institutions":[{"id":"https://openalex.org/I145372079","display_name":"Instituto Tecnol\u00f3gico de Costa Rica","ror":"https://ror.org/04zhrfn38","country_code":"CR","type":"education","lineage":["https://openalex.org/I145372079"]}],"countries":["CR"],"is_corresponding":false,"raw_author_name":"Javier Cordero-Quir\u00f3s","raw_affiliation_strings":["Instituto Tecnol&#x00F3;gico de Costa Rica,Computer Science,Cartago,Costa Rica"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Tecnol&#x00F3;gico de Costa Rica,Computer Science,Cartago,Costa Rica","institution_ids":["https://openalex.org/I145372079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031362673","display_name":"Fabi\u00e1n Fallas-Moya","orcid":"https://orcid.org/0000-0003-0997-2917"},"institutions":[{"id":"https://openalex.org/I145372079","display_name":"Instituto Tecnol\u00f3gico de Costa Rica","ror":"https://ror.org/04zhrfn38","country_code":"CR","type":"education","lineage":["https://openalex.org/I145372079"]}],"countries":["CR"],"is_corresponding":false,"raw_author_name":"Fabian Fallas-Moya","raw_affiliation_strings":["Instituto Tecnol&#x00F3;gico de Costa Rica,Computer Science,Cartago,Costa Rica"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Tecnol&#x00F3;gico de Costa Rica,Computer Science,Cartago,Costa Rica","institution_ids":["https://openalex.org/I145372079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145372079"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.66288136,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T11448","display_name":"Face recognition and analysis","score":0.879800021648407,"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/T11448","display_name":"Face recognition and analysis","score":0.879800021648407,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.04619999974966049,"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/T10828","display_name":"Biometric Identification and Security","score":0.01600000075995922,"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/bounding-overwatch","display_name":"Bounding overwatch","score":0.5666000247001648},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5648000240325928},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.5594000220298767},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"Privacy protection","score":0.5418000221252441},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.510699987411499},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.47920000553131104},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.4465000033378601},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.43860000371932983}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.795799970626831},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.5666000247001648},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5648000240325928},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.5594000220298767},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.5418000221252441},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.510699987411499},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.47920000553131104},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.4465000033378601},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.43860000371932983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4000000059604645},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.3937999904155731},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.388700008392334},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.38580000400543213},{"id":"https://openalex.org/C169093310","wikidata":"https://www.wikidata.org/wiki/Q3702971","display_name":"Personally identifiable information","level":2,"score":0.3776000142097473},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.35199999809265137},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3447999954223633},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3334999978542328},{"id":"https://openalex.org/C509729295","wikidata":"https://www.wikidata.org/wiki/Q7246032","display_name":"Privacy software","level":3,"score":0.325300008058548},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3248000144958496},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.3231000006198883},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.31189998984336853},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.2842999994754791},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2791999876499176},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2563999891281128}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/clei67442.2025.11420307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/clei67442.2025.11420307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 LI Latin American Computer Conference (CLEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6464054584503174,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323280","display_name":"Instituto Tecnol\u00f3gico de Costa Rica","ror":"https://ror.org/04zhrfn38"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1510833811","https://openalex.org/W2919115771","https://openalex.org/W2963037989","https://openalex.org/W2963566548","https://openalex.org/W2985775862","https://openalex.org/W3034552680","https://openalex.org/W3087845270","https://openalex.org/W3205120282","https://openalex.org/W4210695778","https://openalex.org/W4392942577","https://openalex.org/W4407639621"],"related_works":[],"abstract_inverted_index":{"Deep":[0,165],"Learning":[1,166],"(DL)for":[2],"faces":[3],"is":[4,23,31,69],"a":[5,94],"critical":[6],"component":[7],"in":[8,33,170],"various":[9,162],"applications,":[10],"including":[11],"surveillance,":[12],"marketing,":[13],"and":[14,45,119],"security.":[15],"However,":[16],"when":[17],"dealing":[18],"with":[19,58],"human":[20],"subjects,":[21],"it":[22],"often":[24],"necessary":[25],"to":[26,35,112,131],"determine":[27],"whether":[28],"facial":[29],"anonymization":[30,134],"required":[32,81],"order":[34],"preserve":[36],"privacy.":[37],"Traditional":[38],"object":[39,90],"detectors":[40,91],"only":[41,145],"provide":[42],"bounding":[43],"boxes":[44],"confidence":[46,120],"scores,":[47],"offering":[48],"no":[49],"information":[50],"about":[51],"the":[52,63,70,77,101,113,159,177],"level":[53],"of":[54,65,79,103,161,164],"privacy":[55,80,104,154],"risk":[56],"associated":[57],"each":[59,83,107],"detected":[60,108],"face.":[61,84,109],"To":[62],"best":[64,178],"our":[66,122,142,171],"knowledge,":[67],"this":[68,125],"first":[71],"DL":[72,148],"approach":[73,143],"that":[74,141,175],"explicitly":[75],"estimates":[76],"degree":[78],"for":[82,106,180],"Our":[85],"proposed":[86],"method":[87],"extends":[88],"conventional":[89],"by":[92],"introducing":[93],"novel":[95],"Privacy":[96],"Awareness":[97],"metric,":[98],"which":[99],"quantifies":[100],"extent":[102],"exposure":[105],"In":[110],"addition":[111],"standard":[114],"outputs":[115],"\u2014bounding":[116],"box":[117],"coordinates":[118],"scores\u2014":[121],"model":[123],"provides":[124,152],"privacy-related":[126],"information,":[127],"enabling":[128],"downstream":[129],"systems":[130],"apply":[132],"appropriate":[133],"strategies.":[135],"We":[136],"present":[137],"experimental":[138],"results":[139],"demonstrating":[140],"not":[144],"maintains":[146],"strong":[147],"performance":[149,179],"but":[150],"also":[151],"meaningful":[153],"assessments.":[155],"Furthermore,":[156],"we":[157],"analyze":[158],"effectiveness":[160],"combinations":[163],"(DL)":[167],"models":[168],"used":[169],"framework,":[172],"identifying":[173],"configurations":[174],"offer":[176],"privacy-aware":[181],"face":[182],"detection.":[183]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2026-03-13T00:00:00"}
