{"id":"https://openalex.org/W6888379384","doi":"https://doi.org/10.21227/qgs2-np56","title":"PrivacyNet results: obfuscated face images","display_name":"PrivacyNet results: obfuscated face images","publication_year":2020,"publication_date":"2020-02-14","ids":{"openalex":"https://openalex.org/W6888379384","doi":"https://doi.org/10.21227/qgs2-np56"},"language":"en","primary_location":{"id":"doi:10.21227/qgs2-np56","is_oa":true,"landing_page_url":"https://doi.org/10.21227/qgs2-np56","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/qgs2-np56","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Mirjalili, Vahid","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mirjalili, Vahid","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Raschka, Sebastian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Raschka, Sebastian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Ross, Arun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ross, Arun","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.7383999824523926},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5703999996185303},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5443999767303467},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5224999785423279},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5110999941825867},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4122999906539917},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"Privacy protection","score":0.396699994802475},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.3919000029563904}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7648000121116638},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7383999824523926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5723000168800354},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5703999996185303},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5443999767303467},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5224999785423279},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5110999941825867},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4287000000476837},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4122999906539917},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.396699994802475},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.3919000029563904},{"id":"https://openalex.org/C169093310","wikidata":"https://www.wikidata.org/wiki/Q3702971","display_name":"Personally identifiable information","level":2,"score":0.3837999999523163},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.36230000853538513},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.3582000136375427},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3321000039577484},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3084999918937683},{"id":"https://openalex.org/C71745522","wikidata":"https://www.wikidata.org/wiki/Q2476929","display_name":"Confidentiality","level":2,"score":0.30300000309944153},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.29829999804496765},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29010000824928284},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2689000070095062},{"id":"https://openalex.org/C191070858","wikidata":"https://www.wikidata.org/wiki/Q5428343","display_name":"Face Recognition Grand Challenge","level":5,"score":0.2680000066757202},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.26750001311302185},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2632000148296356},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.25}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/qgs2-np56","is_oa":true,"landing_page_url":"https://doi.org/10.21227/qgs2-np56","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.21227/qgs2-np56","is_oa":true,"landing_page_url":"https://doi.org/10.21227/qgs2-np56","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"sustainable_development_goals":[{"score":0.7911059856414795,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0,103],"recent":[1],"years,":[2],"the":[3,28,42,58,176],"utilization":[4],"of":[5,17,27,33,44,72,119,140,144,178],"biometric":[6,34,123,146],"information":[7,39,147],"has":[8],"become":[9],"more":[10,12],"and":[11,20,31,41,134,149],"common":[13],"for":[14,63,100],"various":[15],"forms":[16],"identity":[18],"verification":[19],"user":[21],"authentication.":[22],"However,":[23],"as":[24,131],"a":[25,88,97,108],"consequence":[26],"widespread":[29],"use":[30],"storage":[32],"information,":[35],"concerns":[36,55],"regarding":[37],"sensitive":[38],"leakage":[40],"protection":[43],"users'":[45],"privacy":[46,66,124,186],"have":[47],"been":[48],"raised.":[49],"Recent":[50],"research":[51],"efforts":[52],"targeted":[53],"these":[54],"by":[56,87,96],"proposing":[57],"Semi-Adversarial":[59],"Networks":[60],"(SAN)":[61],"framework":[62],"imparting":[64,120,183],"gender":[65,89],"to":[67,75,125,155,157,187],"face":[68,77,98,172,188],"images.":[69,189],"The":[70,164],"objective":[71],"SAN":[73,113],"is":[74,117,138],"perturb":[76],"image":[78,173],"data":[79],"such":[80,130],"that":[81,116],"it":[82,151],"cannot":[83],"be":[84,94],"reliably":[85,148],"used":[86,95],"classifier":[90],"but":[91],"can":[92],"still":[93],"matcher":[99],"matching":[101],"purposes.":[102],"this":[104],"work,":[105],"we":[106],"propose":[107],"novel":[109],"Generative":[110],"Adversarial":[111],"Networks-based":[112],"model,":[114],"PrivacyNet,":[115],"capable":[118,139],"selective":[121,184],"soft":[122,145],"{\\em":[126],"multiple}":[127],"soft-biometric":[128],"attributes":[129],"gender,":[132],"age,":[133],"race.":[135],"While":[136],"PrivacyNet":[137],"perturbing":[141],"different":[142],"sources":[143],"simultaneously,":[150],"also":[152],"allows":[153],"users":[154],"choose":[156],"obfuscate":[158],"specific":[159],"attributes,":[160],"while":[161],"preserving":[162],"others.":[163],"results":[165],"from":[166],"extensive":[167],"experiments":[168],"on":[169],"five":[170],"independent":[171],"databases":[174],"demonstrate":[175],"efficacy":[177],"our":[179],"proposed":[180],"model":[181],"in":[182],"multi-attribute":[185]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}