{"id":"https://openalex.org/W4226331796","doi":"https://doi.org/10.1109/isit50566.2022.9834887","title":"Rainbow Differential Privacy","display_name":"Rainbow Differential Privacy","publication_year":2022,"publication_date":"2022-06-26","ids":{"openalex":"https://openalex.org/W4226331796","doi":"https://doi.org/10.1109/isit50566.2022.9834887"},"language":"en","primary_location":{"id":"doi:10.1109/isit50566.2022.9834887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit50566.2022.9834887","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"2022 IEEE International Symposium on Information Theory (ISIT)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Information Theory (ISIT)","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/A5100297957","display_name":"Ziqi Zhou","orcid":"https://orcid.org/0009-0008-2412-7002"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Ziqi Zhou","raw_affiliation_strings":["Technical University of Berlin,Department of Electrical Engineering and Computer Science,Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Berlin,Department of Electrical Engineering and Computer Science,Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016620064","display_name":"Onur G\u00fcnl\u00fc","orcid":"https://orcid.org/0000-0002-0313-7788"},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Onur G\u00fcnl\u00fc","raw_affiliation_strings":["University of Siegen,Chair of Communications Engineering and Security,Germany"],"affiliations":[{"raw_affiliation_string":"University of Siegen,Chair of Communications Engineering and Security,Germany","institution_ids":["https://openalex.org/I206895457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017403407","display_name":"Rafael G. L. D\u2019Oliveira","orcid":"https://orcid.org/0000-0001-5053-5909"},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rafael G. L. D\u2019Oliveira","raw_affiliation_strings":["Clemson University,SMSS,USA"],"affiliations":[{"raw_affiliation_string":"Clemson University,SMSS,USA","institution_ids":["https://openalex.org/I8078737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075370174","display_name":"Muriel M\u00e9dard","orcid":"https://orcid.org/0000-0003-4059-407X"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Muriel M\u00e9dard","raw_affiliation_strings":["Massachusetts Institute of Technology,RLE,USA"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology,RLE,USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068612701","display_name":"Parastoo Sadeghi","orcid":"https://orcid.org/0000-0002-9965-9483"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Parastoo Sadeghi","raw_affiliation_strings":["University of New South Wales,SEIT,Canberra,Australia"],"affiliations":[{"raw_affiliation_string":"University of New South Wales,SEIT,Canberra,Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038203207","display_name":"Rafael F. Schaefer","orcid":"https://orcid.org/0000-0002-1702-9075"},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rafael F. Schaefer","raw_affiliation_strings":["University of Siegen,Chair of Communications Engineering and Security,Germany"],"affiliations":[{"raw_affiliation_string":"University of Siegen,Chair of Communications Engineering and Security,Germany","institution_ids":["https://openalex.org/I206895457"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100297957"],"corresponding_institution_ids":["https://openalex.org/I4577782"],"apc_list":null,"apc_paid":null,"fwci":0.4195,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.56063176,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"614","last_page":"619"},"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":0.9980000257492065,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/graph","display_name":"Graph","score":0.5986329913139343},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.5097867846488953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5089378356933594},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.4583508372306824},{"id":"https://openalex.org/keywords/ternary-operation","display_name":"Ternary operation","score":0.4582499861717224},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4398178458213806},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4259144067764282},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.4097011387348175},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35718226432800293},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31507107615470886}],"concepts":[{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5986329913139343},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.5097867846488953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5089378356933594},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.4583508372306824},{"id":"https://openalex.org/C64452783","wikidata":"https://www.wikidata.org/wiki/Q1524945","display_name":"Ternary operation","level":2,"score":0.4582499861717224},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4398178458213806},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4259144067764282},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.4097011387348175},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35718226432800293},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31507107615470886},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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":1,"locations":[{"id":"doi:10.1109/isit50566.2022.9834887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit50566.2022.9834887","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"2022 IEEE International Symposium on Information Theory (ISIT)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321408","display_name":"Ministry of Education","ror":"https://ror.org/01p262204"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1493407996","https://openalex.org/W1873763122","https://openalex.org/W1981029888","https://openalex.org/W2101771965","https://openalex.org/W2565075116","https://openalex.org/W2582825155","https://openalex.org/W2608178897","https://openalex.org/W2753855453","https://openalex.org/W2977022985","https://openalex.org/W3101886934","https://openalex.org/W3102994281","https://openalex.org/W3197634231","https://openalex.org/W4205228770","https://openalex.org/W6639246211","https://openalex.org/W6744220956","https://openalex.org/W6758947373","https://openalex.org/W6948067646"],"related_works":["https://openalex.org/W4295911723","https://openalex.org/W2884886165","https://openalex.org/W4288055350","https://openalex.org/W3121349728","https://openalex.org/W3120912508","https://openalex.org/W4307537046","https://openalex.org/W3015148776","https://openalex.org/W2111912021","https://openalex.org/W3035493623","https://openalex.org/W1973012514"],"abstract_inverted_index":{"We":[0,86,132],"extend":[1],"a":[2,25,57,74,126,129],"previous":[3],"framework":[4],"for":[5,60,104,138],"designing":[6],"differentially":[7],"private":[8],"(DP)":[9],"mechanisms":[10],"via":[11],"randomized":[12],"graph":[13,37,80,141],"colorings":[14,23],"that":[15,53,88],"was":[16],"restricted":[17],"to":[18,22,27,72,128,158,161,176],"binary":[19],"functions,":[20],"corresponding":[21],"in":[24,35,142,152],"graph,":[26],"multi-valued":[28],"functions.":[29,147],"As":[30],"before,":[31],"datasets":[32,42,82],"are":[33,43],"nodes":[34],"the":[36,61,65,79,90,96,118,139,143,170,180],"and":[38,101,117],"any":[39],"two":[40],"neighboring":[41],"connected":[44],"by":[45,123],"an":[46],"edge.":[47],"In":[48],"our":[49],"setting,":[50],"we":[51,70],"assume":[52],"each":[54,67],"dataset":[55],"has":[56],"preferential":[58,166],"ordering":[59],"possible":[62],"outputs":[63],"of":[64,68,81,98,125,145,149],"mechanism,":[66],"which":[69],"refer":[71],"as":[73],"rainbow.":[75],"Different":[76],"rainbows":[77],"partition":[78],"into":[83],"different":[84],"regions.":[85],"show":[87,134],"if":[89],"DP":[91],"mechanism":[92,114],"is":[93],"pre-specified":[94],"at":[95,109],"boundary":[97,107],"such":[99,113],"regions":[100],"behaves":[102],"identically":[103],"all":[105],"same-rainbow":[106],"datasets,":[108],"most":[110],"one":[111],"optimal":[112],"can":[115,120],"exist":[116],"problem":[119],"be":[121,159],"solved":[122],"means":[124],"morphism":[127],"line":[130,140],"graph.":[131],"then":[133],"closed":[135],"form":[136],"expressions":[137],"case":[144],"ternary":[146,150,181],"Treatment":[148],"queries":[151],"this":[153],"paper":[154],"displays":[155],"enough":[156],"richness":[157],"extended":[160],"higher-dimensional":[162],"query":[163,167],"spaces":[164],"with":[165],"ordering,":[168],"but":[169],"optimality":[171],"proof":[172],"does":[173],"not":[174],"seem":[175],"follow":[177],"directly":[178],"from":[179],"proof.":[182]},"counts_by_year":[{"year":2024,"cited_by_count":4}],"updated_date":"2026-03-14T06:41:57.775601","created_date":"2025-10-10T00:00:00"}
