{"id":"https://openalex.org/W3157972931","doi":"https://doi.org/10.1109/itw48936.2021.9611424","title":"Optimal Maximal Leakage-Distortion Tradeoff","display_name":"Optimal Maximal Leakage-Distortion Tradeoff","publication_year":2021,"publication_date":"2021-10-17","ids":{"openalex":"https://openalex.org/W3157972931","doi":"https://doi.org/10.1109/itw48936.2021.9611424","mag":"3157972931"},"language":"en","primary_location":{"id":"doi:10.1109/itw48936.2021.9611424","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw48936.2021.9611424","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Information Theory Workshop (ITW)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2105.01033","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008260742","display_name":"Sara Saeidian","orcid":"https://orcid.org/0000-0001-6908-559X"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Sara Saeidian","raw_affiliation_strings":["KTH Royal Institute of Technology, Stockholm, Sweden","KTH \u2013 Royal Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"KTH \u2013 Royal Institute of Technology","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035677079","display_name":"Giulia Cervia","orcid":"https://orcid.org/0000-0002-7868-4188"},"institutions":[{"id":"https://openalex.org/I4210133642","display_name":"IMT Nord Europe","ror":"https://ror.org/042rh9p26","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210133642"]},{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["FR","SE"],"is_corresponding":false,"raw_author_name":"Giulia Cervia","raw_affiliation_strings":["IMT Lille Douai, Lille, France","KTH Royal Institute of Technology, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IMT Lille Douai, Lille, France","institution_ids":["https://openalex.org/I4210133642"]},{"raw_affiliation_string":"KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079492269","display_name":"Tobias J. Oechtering","orcid":"https://orcid.org/0000-0002-0036-9049"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Tobias J. Oechtering","raw_affiliation_strings":["KTH Royal Institute of Technology, Stockholm, Sweden","KTH \u2013 Royal Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"KTH \u2013 Royal Institute of Technology","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041348422","display_name":"Mikael Skoglund","orcid":"https://orcid.org/0000-0002-7926-5081"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Mikael Skoglund","raw_affiliation_strings":["KTH Royal Institute of Technology, Stockholm, Sweden","KTH \u2013 Royal Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"KTH \u2013 Royal Institute of Technology","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008260742"],"corresponding_institution_ids":["https://openalex.org/I86987016"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05216607,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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":1.0,"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/T10237","display_name":"Cryptography and Data Security","score":0.9973000288009644,"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/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9793000221252441,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/randomness","display_name":"Randomness","score":0.7771196961402893},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.7263664603233337},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5715814232826233},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5614813566207886},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5094543099403381},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4872244894504547},{"id":"https://openalex.org/keywords/data-publishing","display_name":"Data publishing","score":0.4587419927120209},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4565157890319824},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4481005370616913},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42468878626823425},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15411460399627686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1490471363067627},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09881556034088135}],"concepts":[{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.7771196961402893},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.7263664603233337},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5715814232826233},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5614813566207886},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5094543099403381},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4872244894504547},{"id":"https://openalex.org/C2781396290","wikidata":"https://www.wikidata.org/wiki/Q17051824","display_name":"Data publishing","level":3,"score":0.4587419927120209},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4565157890319824},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4481005370616913},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42468878626823425},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15411460399627686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1490471363067627},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09881556034088135},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0},{"id":"https://openalex.org/C151719136","wikidata":"https://www.wikidata.org/wiki/Q3972943","display_name":"Publishing","level":2,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/itw48936.2021.9611424","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw48936.2021.9611424","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Information Theory Workshop (ITW)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2105.01033","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.01033","pdf_url":"https://arxiv.org/pdf/2105.01033","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":"","raw_type":"text"},{"id":"mag:3157972931","is_oa":true,"landing_page_url":"http://arxiv.org/pdf/2105.01033.pdf","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:HAL:hal-04155229v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04155229","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2021 IEEE Information Theory Workshop (ITW), IEEE, Oct 2021, Kanazawa, Japan","raw_type":"Conference papers"},{"id":"doi:10.48550/arxiv.2105.01033","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2105.01033","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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2105.01033","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.01033","pdf_url":"https://arxiv.org/pdf/2105.01033","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":"","raw_type":"text"},"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3157972931.pdf","grobid_xml":"https://content.openalex.org/works/W3157972931.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1649611255","https://openalex.org/W2006309149","https://openalex.org/W2027595342","https://openalex.org/W2053801139","https://openalex.org/W2167136065","https://openalex.org/W2551592225","https://openalex.org/W2556626427","https://openalex.org/W2564029303","https://openalex.org/W2749457063","https://openalex.org/W2922457090","https://openalex.org/W2963551278","https://openalex.org/W2998261580","https://openalex.org/W3099980085","https://openalex.org/W3155296704","https://openalex.org/W3216246137","https://openalex.org/W4205228770","https://openalex.org/W4292058084","https://openalex.org/W6636810011","https://openalex.org/W6681909838"],"related_works":["https://openalex.org/W3099980085","https://openalex.org/W2583220279","https://openalex.org/W3182521736","https://openalex.org/W2954602301","https://openalex.org/W2963541051","https://openalex.org/W2902958027","https://openalex.org/W2953296643","https://openalex.org/W3203921524","https://openalex.org/W3121783531","https://openalex.org/W2769297114","https://openalex.org/W3158160082","https://openalex.org/W3138835007","https://openalex.org/W2998261580","https://openalex.org/W2567588361","https://openalex.org/W2804827666","https://openalex.org/W2264424048","https://openalex.org/W3161762333","https://openalex.org/W2891848848","https://openalex.org/W2900591790","https://openalex.org/W2975069372"],"abstract_inverted_index":{"Most":[0],"methods":[1],"for":[2,101,107],"publishing":[3],"data":[4],"with":[5,153,161],"privacy":[6,34,69,127,148,183,188],"guarantees":[7],"introduce":[8],"randomness":[9],"into":[10],"datasets":[11],"which":[12],"reduces":[13],"the":[14,17,25,33,37,42,56,60,67,73,87,103,108,112,131,141,146,154,162,187,193],"utility":[15,43],"of":[16,93,171,202],"published":[18],"data.":[19],"In":[20],"this":[21,203],"paper,":[22],"we":[23,53,65,84,96,121,167],"study":[24,46],"privacy-utility":[26],"tradeoff":[27],"by":[28],"taking":[29],"maximal":[30,81,117],"leakage":[31,118],"as":[32,41],"measure":[35],"and":[36,64,95,158],"expected":[38],"Hamming":[39],"distortion":[40,75,105,133],"measure.":[44],"We":[45],"three":[47],"different":[48],"but":[49],"related":[50],"problems.":[51],"First,":[52],"assume":[54,85],"that":[55,71,86,139,169,173,185],"data-generating":[57],"distribution":[58,143],"(i.e.,":[59],"prior)":[61],"is":[62,144,205],"known,":[63,145],"find":[66],"optimal":[68,147],"mechanism":[70,149],"achieves":[72],"smallest":[74,104,163],"subject":[76,114],"to":[77,90,115,179],"a":[78,98,116,123],"constraint":[79],"on":[80,126,130],"leakage.":[82],"Then,":[83],"prior":[88,110,142,156,164],"belongs":[89],"some":[91],"set":[92],"distributions,":[94],"formulate":[97],"min-max":[99],"problem":[100],"finding":[102],"achievable":[106],"worst-case":[109,197],"in":[111],"set,":[113],"constraint.":[119],"Lastly,":[120],"define":[122],"partial":[124],"order":[125],"mechanisms":[128,184],"based":[129],"largest":[132,155],"they":[134],"generate.":[135],"Our":[136],"results":[137],"show":[138,168],"when":[140],"fully":[150],"discloses":[151],"symbols":[152,160,194],"probabilities,":[157],"suppresses":[159],"probabilities.":[165],"Furthermore,":[166],"sets":[170],"priors":[172],"contain":[174],"more":[175,190],"uniform":[176],"distributions":[177],"lead":[178],"larger":[180],"distortion,":[181],"while":[182],"distribute":[186],"budget":[189],"uniformly":[191],"over":[192],"create":[195],"smaller":[196],"distortion.":[198],"A":[199],"full":[200],"version":[201],"paper":[204],"accessible":[206],"at:":[207],"https://arxiv.org/pdf/2105.01033.pdf":[208]},"counts_by_year":[],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}
