{"id":"https://openalex.org/W2946348439","doi":"https://doi.org/10.2478/popets-2020-0060","title":"Automatic Discovery of Privacy\u2013Utility Pareto Fronts","display_name":"Automatic Discovery of Privacy\u2013Utility Pareto Fronts","publication_year":2020,"publication_date":"2020-08-17","ids":{"openalex":"https://openalex.org/W2946348439","doi":"https://doi.org/10.2478/popets-2020-0060","mag":"2946348439"},"language":"en","primary_location":{"id":"doi:10.2478/popets-2020-0060","is_oa":true,"landing_page_url":"https://doi.org/10.2478/popets-2020-0060","pdf_url":"https://www.sciendo.com/pdf/10.2478/popets-2020-0060","source":{"id":"https://openalex.org/S4210183172","display_name":"Proceedings on Privacy Enhancing Technologies","issn_l":"2299-0984","issn":["2299-0984"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings on Privacy Enhancing Technologies","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.sciendo.com/pdf/10.2478/popets-2020-0060","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035617528","display_name":"Brendan Avent","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]},{"id":"https://openalex.org/I2800817003","display_name":"Southern California University for Professional Studies","ror":"https://ror.org/058zz0t50","country_code":"US","type":"education","lineage":["https://openalex.org/I2800817003"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Brendan Avent","raw_affiliation_strings":["University of Southern California\u2020","University  of Southern California"],"affiliations":[{"raw_affiliation_string":"University of Southern California\u2020","institution_ids":["https://openalex.org/I2800817003","https://openalex.org/I1174212"]},{"raw_affiliation_string":"University  of Southern California","institution_ids":["https://openalex.org/I2800817003","https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110652380","display_name":"Javier Gonz\u00e1lez","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Javier Gonz\u00e1lez","raw_affiliation_strings":["Now at Microsoft Research\u2020","(Microsoft)"],"affiliations":[{"raw_affiliation_string":"Now at Microsoft Research\u2020","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"(Microsoft)","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058474860","display_name":"Tom Diethe","orcid":"https://orcid.org/0000-0002-0776-5407"},"institutions":[{"id":"https://openalex.org/I4210089985","display_name":"Amazon (Germany)","ror":"https://ror.org/00b9ktm87","country_code":"DE","type":"company","lineage":["https://openalex.org/I1311688040","https://openalex.org/I4210089985"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tom Diethe","raw_affiliation_strings":["Amazon Research Cambridge","Amazon"],"affiliations":[{"raw_affiliation_string":"Amazon Research Cambridge","institution_ids":[]},{"raw_affiliation_string":"Amazon","institution_ids":["https://openalex.org/I4210089985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101934657","display_name":"Andrei Paleyes","orcid":"https://orcid.org/0000-0002-3703-8163"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Andrei Paleyes","raw_affiliation_strings":["Now at University of Cambridge\u2020","Univ. of Cambridge"],"affiliations":[{"raw_affiliation_string":"Now at University of Cambridge\u2020","institution_ids":["https://openalex.org/I241749"]},{"raw_affiliation_string":"Univ. of Cambridge","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085679401","display_name":"Borja Balle","orcid":"https://orcid.org/0009-0003-8726-2803"},"institutions":[{"id":"https://openalex.org/I4210090411","display_name":"Google DeepMind (United Kingdom)","ror":"https://ror.org/00971b260","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210090411","https://openalex.org/I4210128969"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Borja Balle","raw_affiliation_strings":["Now at DeepMind\u2020"],"affiliations":[{"raw_affiliation_string":"Now at DeepMind\u2020","institution_ids":["https://openalex.org/I4210090411"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5035617528"],"corresponding_institution_ids":["https://openalex.org/I1174212","https://openalex.org/I2800817003"],"apc_list":null,"apc_paid":null,"fwci":0.2937191,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6063682,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"2020","issue":"4","first_page":"5","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","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/T10764","display_name":"Privacy-Preserving Technologies in Data","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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9943000078201294,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9864000082015991,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.8421701192855835},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7746105194091797},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.6803377270698547},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.49317067861557007},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4738609790802002},{"id":"https://openalex.org/keywords/pareto-optimal","display_name":"Pareto optimal","score":0.46717721223831177},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4559718370437622},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4545416831970215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44497573375701904},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.44466227293014526},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3730321228504181},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.26036834716796875},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.2460748255252838},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08144113421440125}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.8421701192855835},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7746105194091797},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.6803377270698547},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.49317067861557007},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4738609790802002},{"id":"https://openalex.org/C2986314615","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto optimal","level":3,"score":0.46717721223831177},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4559718370437622},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4545416831970215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44497573375701904},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.44466227293014526},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3730321228504181},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.26036834716796875},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.2460748255252838},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08144113421440125},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.2478/popets-2020-0060","is_oa":true,"landing_page_url":"https://doi.org/10.2478/popets-2020-0060","pdf_url":"https://www.sciendo.com/pdf/10.2478/popets-2020-0060","source":{"id":"https://openalex.org/S4210183172","display_name":"Proceedings on Privacy Enhancing Technologies","issn_l":"2299-0984","issn":["2299-0984"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings on Privacy Enhancing Technologies","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1905.10862","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.10862","pdf_url":"https://arxiv.org/pdf/1905.10862","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.1905.10862","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1905.10862","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"mag:2946348439","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.2478/popets-2020-0060","is_oa":true,"landing_page_url":"https://doi.org/10.2478/popets-2020-0060","pdf_url":"https://www.sciendo.com/pdf/10.2478/popets-2020-0060","source":{"id":"https://openalex.org/S4210183172","display_name":"Proceedings on Privacy Enhancing Technologies","issn_l":"2299-0984","issn":["2299-0984"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings on Privacy Enhancing Technologies","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5600000023841858,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2946348439.pdf","grobid_xml":"https://content.openalex.org/works/W2946348439.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W164706946","https://openalex.org/W1522301498","https://openalex.org/W1529817821","https://openalex.org/W1535019556","https://openalex.org/W1559060276","https://openalex.org/W1873763122","https://openalex.org/W2027595342","https://openalex.org/W2029959045","https://openalex.org/W2112796928","https://openalex.org/W2124612670","https://openalex.org/W2131241448","https://openalex.org/W2134477639","https://openalex.org/W2144124155","https://openalex.org/W2146611938","https://openalex.org/W2186615578","https://openalex.org/W2304209433","https://openalex.org/W2408019865","https://openalex.org/W2473418344","https://openalex.org/W2556522401","https://openalex.org/W2594311007","https://openalex.org/W2613872436","https://openalex.org/W2619351572","https://openalex.org/W2732547613","https://openalex.org/W2741261073","https://openalex.org/W2753100036","https://openalex.org/W2767602894","https://openalex.org/W2784621220","https://openalex.org/W2788502731","https://openalex.org/W2793326028","https://openalex.org/W2799013664","https://openalex.org/W2804227495","https://openalex.org/W2810715221","https://openalex.org/W2886435782","https://openalex.org/W2891168584","https://openalex.org/W2898760882","https://openalex.org/W2900306973","https://openalex.org/W2900971815","https://openalex.org/W2905148628","https://openalex.org/W2911978475","https://openalex.org/W2944363928","https://openalex.org/W2949362351","https://openalex.org/W2951663308","https://openalex.org/W2957304873","https://openalex.org/W2963230993","https://openalex.org/W2963474950","https://openalex.org/W2963506795","https://openalex.org/W2963612912","https://openalex.org/W2963815651","https://openalex.org/W2963828152","https://openalex.org/W2963924077","https://openalex.org/W2963965291","https://openalex.org/W2963999993","https://openalex.org/W2964121744","https://openalex.org/W2964172739","https://openalex.org/W2964296660","https://openalex.org/W3037491300","https://openalex.org/W3100897712","https://openalex.org/W4205228770","https://openalex.org/W4206212643","https://openalex.org/W4211049957","https://openalex.org/W4252003911"],"related_works":["https://openalex.org/W2947693768","https://openalex.org/W2091815328","https://openalex.org/W3126826918","https://openalex.org/W2990147108","https://openalex.org/W3104406626","https://openalex.org/W3136159396","https://openalex.org/W2953314980","https://openalex.org/W3161866711","https://openalex.org/W2980104975","https://openalex.org/W3102994281","https://openalex.org/W2903776253","https://openalex.org/W3089242161","https://openalex.org/W2807999884","https://openalex.org/W2513834278","https://openalex.org/W2992243196","https://openalex.org/W2907009231","https://openalex.org/W3015680087","https://openalex.org/W3160971433","https://openalex.org/W3099111404","https://openalex.org/W1714669175"],"abstract_inverted_index":{"Abstract":[0],"Differential":[1],"privacy":[2,24,45],"is":[3,36,133],"a":[4,15,28,50,61,94,105,136],"mathematical":[5],"framework":[6],"for":[7,74,109],"privacy-preserving":[8],"data":[9],"analysis.":[10],"Changing":[11],"the":[12,90,112],"hyperparameters":[13],"of":[14,116,125,130,138],"differentially":[16,118],"private":[17,119],"algorithm":[18,96,120],"allows":[19],"one":[20],"to":[21,38,64],"trade":[22],"off":[23],"and":[25,146],"utility":[26,58,91,114],"in":[27,34,49],"principled":[29],"way.":[30],"Quantifying":[31],"this":[32,67],"trade-off":[33,115],"advance":[35],"essential":[37],"decision-makers":[39],"tasked":[40],"with":[41],"deciding":[42],"how":[43],"much":[44],"can":[46,97],"be":[47,99],"provided":[48],"particular":[51],"application":[52],"while":[53],"maintaining":[54],"acceptable":[55],"utility.":[56,127],"Analytical":[57],"guarantees":[59],"offer":[60],"rigorous":[62],"tool":[63],"reason":[65],"about":[66],"tradeoff,":[68],"but":[69],"are":[70],"generally":[71],"only":[72,98,122],"available":[73],"relatively":[75],"simple":[76],"problems.":[77],"For":[78],"more":[79],"complex":[80],"tasks,":[81],"such":[82],"as":[83],"training":[84],"neural":[85],"networks":[86],"under":[87],"differential":[88],"privacy,":[89],"achieved":[92],"by":[93],"given":[95],"measured":[100],"empirically.":[101],"This":[102],"paper":[103],"presents":[104],"Bayesian":[106],"optimization":[107],"methodology":[108],"efficiently":[110],"characterizing":[111],"privacy\u2013":[113],"any":[117],"using":[121],"empirical":[123],"measurements":[124],"its":[126],"The":[128],"versatility":[129],"our":[131],"method":[132],"illustrated":[134],"on":[135],"number":[137],"machine":[139],"learning":[140],"tasks":[141],"involving":[142],"multiple":[143],"models,":[144],"optimizers,":[145],"datasets.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}