{"id":"https://openalex.org/W4225302978","doi":"https://doi.org/10.3390/e24050643","title":"Privacy-Preserving Image Template Sharing Using Contrastive Learning","display_name":"Privacy-Preserving Image Template Sharing Using Contrastive Learning","publication_year":2022,"publication_date":"2022-05-03","ids":{"openalex":"https://openalex.org/W4225302978","doi":"https://doi.org/10.3390/e24050643","pmid":"https://pubmed.ncbi.nlm.nih.gov/35626528"},"language":"en","primary_location":{"id":"doi:10.3390/e24050643","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24050643","pdf_url":"https://www.mdpi.com/1099-4300/24/5/643/pdf?version=1652153416","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/24/5/643/pdf?version=1652153416","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026953476","display_name":"Shideh Rezaeifar","orcid":"https://orcid.org/0000-0002-8103-3722"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Shideh Rezaeifar","raw_affiliation_strings":["Department of Computer Science, University of Geneva, 1227 Carouge, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-8103-3722","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Geneva, 1227 Carouge, Switzerland","institution_ids":["https://openalex.org/I114457229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091506990","display_name":"Slava Voloshynovskiy","orcid":"https://orcid.org/0000-0003-0416-9674"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Slava Voloshynovskiy","raw_affiliation_strings":["Department of Computer Science, University of Geneva, 1227 Carouge, Switzerland"],"raw_orcid":"https://orcid.org/0000-0003-0416-9674","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Geneva, 1227 Carouge, Switzerland","institution_ids":["https://openalex.org/I114457229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011467098","display_name":"Meisam Asgari Jirhandeh","orcid":"https://orcid.org/0000-0003-0027-6405"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Meisam Asgari Jirhandeh","raw_affiliation_strings":["Department of Computer Science, University of Geneva, 1227 Carouge, Switzerland"],"raw_orcid":"https://orcid.org/0000-0003-0027-6405","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Geneva, 1227 Carouge, Switzerland","institution_ids":["https://openalex.org/I114457229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083279037","display_name":"Vitaliy Kinakh","orcid":"https://orcid.org/0000-0001-5301-9141"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Vitality Kinakh","raw_affiliation_strings":["Department of Computer Science, University of Geneva, 1227 Carouge, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Geneva, 1227 Carouge, Switzerland","institution_ids":["https://openalex.org/I114457229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5026953476"],"corresponding_institution_ids":["https://openalex.org/I114457229"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":0.4859,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.58132805,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"24","issue":"5","first_page":"643","last_page":"643"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9987000226974487,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9958999752998352,"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":0.6587927341461182},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5656150579452515},{"id":"https://openalex.org/keywords/image-sharing","display_name":"Image sharing","score":0.4901657998561859},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47679948806762695},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3415915369987488}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6587927341461182},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5656150579452515},{"id":"https://openalex.org/C2780639701","wikidata":"https://www.wikidata.org/wiki/Q354869","display_name":"Image sharing","level":3,"score":0.4901657998561859},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47679948806762695},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3415915369987488}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e24050643","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24050643","pdf_url":"https://www.mdpi.com/1099-4300/24/5/643/pdf?version=1652153416","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:35626528","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35626528","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:ed39d30c38574cb18eb9e1566efeee10","is_oa":true,"landing_page_url":"https://doaj.org/article/ed39d30c38574cb18eb9e1566efeee10","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 24, Iss 5, p 643 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/24/5/643/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e24050643","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy; Volume 24; Issue 5; Pages: 643","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9141880","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9141880","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e24050643","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24050643","pdf_url":"https://www.mdpi.com/1099-4300/24/5/643/pdf?version=1652153416","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"},{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4225302978.pdf"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W1638081485","https://openalex.org/W1834627138","https://openalex.org/W2044945560","https://openalex.org/W2133665775","https://openalex.org/W2145979309","https://openalex.org/W2476457629","https://openalex.org/W2747472649","https://openalex.org/W2765886485","https://openalex.org/W2798724621","https://openalex.org/W2962712356","https://openalex.org/W2963470893","https://openalex.org/W2963963190","https://openalex.org/W2964018718","https://openalex.org/W2970606380","https://openalex.org/W2977362526","https://openalex.org/W3000164997","https://openalex.org/W3000374600","https://openalex.org/W3005680577","https://openalex.org/W3035524453","https://openalex.org/W3085052658","https://openalex.org/W3099111404","https://openalex.org/W3106063097","https://openalex.org/W3129519326","https://openalex.org/W3205609346","https://openalex.org/W4244373353","https://openalex.org/W4300451640","https://openalex.org/W4309374824","https://openalex.org/W6676726796","https://openalex.org/W6891769449"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"With":[0],"the":[1,20,57,77,92,103,112,123,134,138,141,157,161,183,190,194,201,205,208],"recent":[2],"developments":[3],"of":[4,151,156,185,207],"Machine":[5],"Learning":[6],"as":[7],"a":[8,72,81,119,149],"Service":[9],"(MLaaS),":[10],"various":[11],"privacy":[12,55,184],"concerns":[13],"have":[14],"been":[15],"raised.":[16],"Having":[17],"access":[18],"to":[19,87,106,121,147,181],"user's":[21],"data,":[22],"an":[23,47,64,172,178],"adversary":[24],"can":[25],"design":[26],"attacks":[27],"with":[28,68,118,165],"different":[29,43],"objectives,":[30],"namely,":[31],"reconstruction":[32,78],"or":[33],"attribute":[34,142],"inference":[35,143],"attacks.":[36,60],"In":[37,61,76],"this":[38],"paper,":[39],"we":[40,145],"propose":[41],"two":[42,58],"training":[44],"frameworks":[45],"for":[46,91,137],"image":[48],"classification":[49,94,191],"task":[50],"while":[51,132,188],"preserving":[52],"user":[53],"data":[54,131,152],"against":[56],"aforementioned":[59],"both":[62],"frameworks,":[63],"encoder":[65,162],"is":[66,115,154,163,175],"trained":[67,117,164,176],"contrastive":[69,83,169],"loss,":[70],"providing":[71],"superior":[73],"utility-privacy":[74],"trade-off.":[75],"attack":[79],"scenario,":[80],"supervised":[82,166],"loss":[84],"was":[85],"employed":[86],"provide":[88,148],"maximal":[89],"discrimination":[90],"targeted":[93],"task.":[95],"The":[96,197],"encoded":[97],"features":[98],"are":[99],"further":[100],"perturbed":[101],"using":[102],"obfuscator":[104,113,173],"module":[105,114,174],"remove":[107],"all":[108],"redundant":[109],"information.":[110],"Moreover,":[111],"jointly":[116],"classifier":[120],"minimize":[122],"correlation":[124],"between":[125],"private":[126,168],"feature":[127],"representation":[128,150],"and":[129,167],"original":[130],"retaining":[133],"model":[135],"utility":[136],"classification.":[139],"For":[140],"attack,":[144],"aim":[146],"that":[153],"independent":[155],"sensitive":[158,186],"attribute.":[159,196],"Therefore,":[160],"loss.":[170],"Furthermore,":[171],"in":[177],"adversarial":[179],"manner":[180],"preserve":[182],"attributes":[187],"maintaining":[189],"performance":[192],"on":[193,200],"target":[195],"reported":[198],"results":[199],"CelebA":[202],"dataset":[203],"validate":[204],"effectiveness":[206],"proposed":[209],"frameworks.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}