{"id":"https://openalex.org/W4401508449","doi":"https://doi.org/10.1109/infocom52122.2024.10621407","title":"Utility-Preserving Face Anonymization via Differentially Private Feature Operations","display_name":"Utility-Preserving Face Anonymization via Differentially Private Feature Operations","publication_year":2024,"publication_date":"2024-05-20","ids":{"openalex":"https://openalex.org/W4401508449","doi":"https://doi.org/10.1109/infocom52122.2024.10621407"},"language":"en","primary_location":{"id":"doi:10.1109/infocom52122.2024.10621407","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/infocom52122.2024.10621407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2024 - IEEE Conference on Computer Communications","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/A5102731205","display_name":"Chengqi Li","orcid":"https://orcid.org/0000-0001-5020-6865"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Chengqi Li","raw_affiliation_strings":["McMaster University,Canada"],"affiliations":[{"raw_affiliation_string":"McMaster University,Canada","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106399354","display_name":"Sarah Simionescu","orcid":null},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sarah Simionescu","raw_affiliation_strings":["McMaster University,Canada"],"affiliations":[{"raw_affiliation_string":"McMaster University,Canada","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665462","display_name":"Wenbo He","orcid":"https://orcid.org/0000-0001-9795-1598"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Wenbo He","raw_affiliation_strings":["McMaster University,Canada"],"affiliations":[{"raw_affiliation_string":"McMaster University,Canada","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101043472","display_name":"Sanzheng Qiao","orcid":null},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sanzheng Qiao","raw_affiliation_strings":["McMaster University,Canada"],"affiliations":[{"raw_affiliation_string":"McMaster University,Canada","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063425543","display_name":"Nadjia Kara","orcid":null},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nadjia Kara","raw_affiliation_strings":["École de Technologie Supérieure,Canada"],"affiliations":[{"raw_affiliation_string":"École de Technologie Supérieure,Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091698581","display_name":"Chamseddine Talhi","orcid":"https://orcid.org/0000-0003-2264-8265"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Chamseddine Talhi","raw_affiliation_strings":["École de Technologie Supérieure,Canada"],"affiliations":[{"raw_affiliation_string":"École de Technologie Supérieure,Canada","institution_ids":["https://openalex.org/I9736820"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102731205"],"corresponding_institution_ids":["https://openalex.org/I98251732"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14027198,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":null,"first_page":"2279","last_page":"2288"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9975000023841858,"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"}},"topics":[{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9975000023841858,"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"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.994700014591217,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9061999917030334,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7040058970451355},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6972709894180298},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.615296483039856},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41287875175476074},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37304237484931946},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3551762104034424}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7040058970451355},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6972709894180298},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.615296483039856},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41287875175476074},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37304237484931946},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3551762104034424},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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":2,"locations":[{"id":"doi:10.1109/infocom52122.2024.10621407","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/infocom52122.2024.10621407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2024 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"},{"id":"pmh:oai:espace2.etsmtl.ca:29461","is_oa":false,"landing_page_url":"https://espace2.etsmtl.ca/id/eprint/29461/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402392","display_name":"Espace \u00c9TS (ETS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1341030882","host_organization_name":"Educational Testing Service","host_organization_lineage":["https://openalex.org/I1341030882"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Compte rendu de conf\u00e9rence"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1583837637","https://openalex.org/W1686810756","https://openalex.org/W1873763122","https://openalex.org/W2003921219","https://openalex.org/W2027595342","https://openalex.org/W2051267297","https://openalex.org/W2053801139","https://openalex.org/W2103958416","https://openalex.org/W2128354257","https://openalex.org/W2135930857","https://openalex.org/W2161969291","https://openalex.org/W2194775991","https://openalex.org/W2291851889","https://openalex.org/W2535690855","https://openalex.org/W2737721253","https://openalex.org/W2752929869","https://openalex.org/W2769823506","https://openalex.org/W2797558164","https://openalex.org/W2879216670","https://openalex.org/W2914620083","https://openalex.org/W2962770929","https://openalex.org/W2962785568","https://openalex.org/W2966295182","https://openalex.org/W2970408908","https://openalex.org/W2982340830","https://openalex.org/W2997347515","https://openalex.org/W2998792609","https://openalex.org/W3012275626","https://openalex.org/W3027552584","https://openalex.org/W3034552680","https://openalex.org/W3035211587","https://openalex.org/W3100213383","https://openalex.org/W3125736290","https://openalex.org/W3133866474","https://openalex.org/W3139271045","https://openalex.org/W3174847300","https://openalex.org/W3197654265","https://openalex.org/W4283204848","https://openalex.org/W4288057780","https://openalex.org/W4299911481","https://openalex.org/W4301206121","https://openalex.org/W4312678124","https://openalex.org/W6637373629","https://openalex.org/W6726435087","https://openalex.org/W6745560452","https://openalex.org/W6763077247","https://openalex.org/W6763393573","https://openalex.org/W6764838729","https://openalex.org/W6765779288","https://openalex.org/W6791721913"],"related_works":["https://openalex.org/W3147584709","https://openalex.org/W2977677679","https://openalex.org/W1992327129","https://openalex.org/W2381986121","https://openalex.org/W2370918718","https://openalex.org/W2256933480","https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W4386159726","https://openalex.org/W2132337154"],"abstract_inverted_index":{"Facial":[0],"images":[1,93,133],"play":[2],"a":[3,101,141],"crucial":[4],"role":[5],"in":[6,126,134],"many":[7],"web":[8],"and":[9,63,107,112],"security":[10],"applications,":[11],"but":[12],"their":[13],"uses":[14],"come":[15],"with":[16,83],"notable":[17],"privacy":[18,111],"risks.":[19],"Despite":[20],"the":[21,69,89,128],"availability":[22],"of":[23,65,79,91,110,130,144],"various":[24],"face":[25,47],"anonymization":[26,48],"algorithms,":[27],"they":[28],"often":[29],"fail":[30],"to":[31,37,54,104],"withstand":[32],"advanced":[33],"attacks":[34],"while":[35,94,137],"struggling":[36],"maintain":[38],"utility":[39,90,113,129],"for":[40],"subsequent":[41],"applications.":[42],"We":[43],"present":[44],"two":[45],"novel":[46],"algorithms":[49,86,123],"that":[50,121],"utilize":[51],"feature":[52],"operations":[53],"overcome":[55],"these":[56],"limitations.":[57],"The":[58],"first":[59],"algorithm":[60,71],"utilizes":[61],"perturbation":[62,78],"matching":[64],"high-level":[66],"features,":[67],"whereas":[68],"second":[70],"enhances":[72],"this":[73],"approach":[74],"by":[75],"also":[76],"incorporating":[77],"low-level":[80],"features":[81],"along":[82],"regularization.":[84],"These":[85],"significantly":[87],"enhance":[88],"anonymized":[92,131],"ensuring":[95],"differential":[96],"privacy.":[97],"Additionally,":[98],"we":[99,119],"introduce":[100],"task-based":[102],"benchmark":[103],"enable":[105],"fair":[106],"comprehensive":[108],"evaluations":[109],"across":[114],"different":[115],"algorithms.":[116],"Through":[117],"experiments,":[118],"demonstrate":[120],"our":[122],"outperform":[124],"others":[125],"preserving":[127],"facial":[132],"classification":[135],"tasks":[136],"effectively":[138],"protecting":[139],"against":[140],"wide":[142],"range":[143],"attacks.":[145]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}