{"id":"https://openalex.org/W2989332786","doi":"https://doi.org/10.1109/allerton.2017.8262821","title":"Relations among different privacy notions","display_name":"Relations among different privacy notions","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2989332786","doi":"https://doi.org/10.1109/allerton.2017.8262821","mag":"2989332786"},"language":"en","primary_location":{"id":"doi:10.1109/allerton.2017.8262821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/allerton.2017.8262821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1911.00761","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jun Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Jun Zhao","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23996946,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"798","last_page":"805"},"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","score":0.9891999959945679,"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":0.7682999968528748},{"id":"https://openalex.org/keywords/equivalence","display_name":"Equivalence (formal languages)","score":0.511900007724762},{"id":"https://openalex.org/keywords/privacy-software","display_name":"Privacy software","score":0.5005000233650208},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.48590001463890076},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.45100000500679016},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.33469998836517334},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.33379998803138733},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.32199999690055847}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.7682999968528748},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5317000150680542},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.511900007724762},{"id":"https://openalex.org/C509729295","wikidata":"https://www.wikidata.org/wiki/Q7246032","display_name":"Privacy software","level":3,"score":0.5005000233650208},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.48590001463890076},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.45100000500679016},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33640000224113464},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.33469998836517334},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.33379998803138733},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.32199999690055847},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.3188999891281128},{"id":"https://openalex.org/C169093310","wikidata":"https://www.wikidata.org/wiki/Q3702971","display_name":"Personally identifiable information","level":2,"score":0.3188999891281128},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.31790000200271606},{"id":"https://openalex.org/C43020497","wikidata":"https://www.wikidata.org/wiki/Q1662954","display_name":"Semantic differential","level":2,"score":0.3149999976158142},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.3133000135421753},{"id":"https://openalex.org/C156103551","wikidata":"https://www.wikidata.org/wiki/Q130998","display_name":"Equivalence relation","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C193934123","wikidata":"https://www.wikidata.org/wiki/Q7246028","display_name":"Privacy by Design","level":3,"score":0.257999986410141},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.25769999623298645},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.25279998779296875}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/allerton.2017.8262821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/allerton.2017.8262821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1911.00761","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.00761","pdf_url":"https://arxiv.org/pdf/1911.00761","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1911.00761","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.00761","pdf_url":"https://arxiv.org/pdf/1911.00761","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1493407996","https://openalex.org/W1873763122","https://openalex.org/W1976183756","https://openalex.org/W1981029888","https://openalex.org/W2001347093","https://openalex.org/W2019735187","https://openalex.org/W2024622963","https://openalex.org/W2053637704","https://openalex.org/W2068177306","https://openalex.org/W2079017812","https://openalex.org/W2082739501","https://openalex.org/W2082894754","https://openalex.org/W2113792377","https://openalex.org/W2119067110","https://openalex.org/W2125678004","https://openalex.org/W2159024459","https://openalex.org/W2236011587","https://openalex.org/W2294409705","https://openalex.org/W2532967691","https://openalex.org/W2535690855","https://openalex.org/W2564029303","https://openalex.org/W2578455612","https://openalex.org/W2578791853","https://openalex.org/W2595058628","https://openalex.org/W2608340871","https://openalex.org/W2616666333","https://openalex.org/W2701059868","https://openalex.org/W2763450200","https://openalex.org/W2962727778","https://openalex.org/W2962789088","https://openalex.org/W2963313259","https://openalex.org/W2963699739","https://openalex.org/W2964022804","https://openalex.org/W4205228770","https://openalex.org/W6638875082","https://openalex.org/W6665627367","https://openalex.org/W6764468793"],"related_works":[],"abstract_inverted_index":{"We":[0,67],"present":[1],"a":[2,96,139],"comprehensive":[3],"view":[4],"of":[5,44,109,141,150],"the":[6,42,64,69,107,127,148],"relations":[7,70,128],"among":[8],"several":[9],"privacy":[10,13,18,22,27,46,51,61],"notions:":[11],"differential":[12,17,60],"(DP)":[14],"[1],":[15],"Bayesian":[16,49,59],"(BDP)":[19,62],"[2],":[20],"semantic":[21,45,50],"(SP)":[23,47],"[3],":[24],"and":[25,53,74,84,111,131],"membership":[26],"(MP)":[28],"[4].":[29],"The":[30],"results":[31],"are":[32,144],"organized":[33],"into":[34],"two":[35],"parts.":[36],"In":[37,92,122],"part":[38,123],"one,":[39],"we":[40,94,125],"extend":[41],"notion":[43],"to":[48],"(BSP)":[52],"show":[54],"its":[55],"essential":[56],"equivalence":[57],"with":[58],"in":[63,147],"quantitative":[65],"sense.":[66],"prove":[68],"between":[71,129],"BDP,":[72],"BSP,":[73],"SP":[75],"as":[76],"follows:":[77],"\u03f5-BDP":[78,85,134,159],"\u21d0":[79,100,116,160],"(1/2":[80,101],"-":[81,102],"1/e\u03f5+":[82,103],"1)-BSP,":[83],"\u21d2":[86,89,135],"(e\u03f5-":[87,90],"1)-BSP":[88],"1)-SP.":[91],"addition,":[93],"obtain":[95],"minor":[97],"result":[98,108],"\u03f5-DP":[99,115],"1)-SP,":[104],"which":[105],"improves":[106],"Kasiviswanathan":[110],"Smith":[112],"[3]":[113],"stating":[114],"\u03f5/6-SP":[117],"for":[118,138],"\u03f5":[119],"\u2264":[120],"1.35.":[121],"two,":[124],"establish":[126],"BDP":[130],"MP.":[132],"First,":[133],"\u03f5-MP.":[136,161],"Second,":[137],"family":[140],"distributions":[142],"that":[143,158],"downward":[145],"scalable":[146],"sense":[149],"Li":[151],"et":[152],"al.":[153],"[4],":[154],"it":[155],"is":[156],"shown":[157]},"counts_by_year":[],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2019-11-22T00:00:00"}
