{"id":"https://openalex.org/W2154259588","doi":"https://doi.org/10.1145/1376616.1376665","title":"Privacy-MaxEnt","display_name":"Privacy-MaxEnt","publication_year":2008,"publication_date":"2008-06-09","ids":{"openalex":"https://openalex.org/W2154259588","doi":"https://doi.org/10.1145/1376616.1376665","mag":"2154259588"},"language":"en","primary_location":{"id":"doi:10.1145/1376616.1376665","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1376616.1376665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2008 ACM SIGMOD international conference on Management of data","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/A5047825382","display_name":"Wenliang Du","orcid":"https://orcid.org/0000-0002-9234-0912"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wenliang Du","raw_affiliation_strings":["Syracuse University, Syracuse, NY, USA"],"affiliations":[{"raw_affiliation_string":"Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024037708","display_name":"Zhouxuan Teng","orcid":null},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhouxuan Teng","raw_affiliation_strings":["Syracuse University, Syracuse, NY, USA"],"affiliations":[{"raw_affiliation_string":"Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050820550","display_name":"Zutao Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zutao Zhu","raw_affiliation_strings":["Syracuse University, Syracuse, NY, USA"],"affiliations":[{"raw_affiliation_string":"Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047825382"],"corresponding_institution_ids":["https://openalex.org/I70983195"],"apc_list":null,"apc_paid":null,"fwci":13.7292,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":{"value":0.98774435,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"459","last_page":"472"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9937999844551086,"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":0.9879000186920166,"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/microdata","display_name":"Microdata (statistics)","score":0.7252841591835022},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6922930479049683},{"id":"https://openalex.org/keywords/data-publishing","display_name":"Data publishing","score":0.6916905641555786},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6090273857116699},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.6040627360343933},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5879761576652527},{"id":"https://openalex.org/keywords/identifier","display_name":"Identifier","score":0.5507895350456238},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.5197246074676514},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4679998755455017},{"id":"https://openalex.org/keywords/private-information-retrieval","display_name":"Private information retrieval","score":0.41459375619888306},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38591086864471436},{"id":"https://openalex.org/keywords/publishing","display_name":"Publishing","score":0.17504340410232544},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17451781034469604},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.13770994544029236},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.12807318568229675}],"concepts":[{"id":"https://openalex.org/C2778355071","wikidata":"https://www.wikidata.org/wiki/Q1933849","display_name":"Microdata (statistics)","level":4,"score":0.7252841591835022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6922930479049683},{"id":"https://openalex.org/C2781396290","wikidata":"https://www.wikidata.org/wiki/Q17051824","display_name":"Data publishing","level":3,"score":0.6916905641555786},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6090273857116699},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.6040627360343933},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5879761576652527},{"id":"https://openalex.org/C154504017","wikidata":"https://www.wikidata.org/wiki/Q853614","display_name":"Identifier","level":2,"score":0.5507895350456238},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.5197246074676514},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4679998755455017},{"id":"https://openalex.org/C99221444","wikidata":"https://www.wikidata.org/wiki/Q1532069","display_name":"Private information retrieval","level":2,"score":0.41459375619888306},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38591086864471436},{"id":"https://openalex.org/C151719136","wikidata":"https://www.wikidata.org/wiki/Q3972943","display_name":"Publishing","level":2,"score":0.17504340410232544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17451781034469604},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.13770994544029236},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.12807318568229675},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C52130261","wikidata":"https://www.wikidata.org/wiki/Q39825","display_name":"Census","level":3,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1376616.1376665","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1376616.1376665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2008 ACM SIGMOD international conference on Management of data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W56293434","https://openalex.org/W1892399053","https://openalex.org/W1965555277","https://openalex.org/W1979945719","https://openalex.org/W1999602050","https://openalex.org/W2001792610","https://openalex.org/W2009331946","https://openalex.org/W2051434435","https://openalex.org/W2078937669","https://openalex.org/W2096175520","https://openalex.org/W2099907571","https://openalex.org/W2102667697","https://openalex.org/W2107927452","https://openalex.org/W2116416325","https://openalex.org/W2128906841","https://openalex.org/W2134479759","https://openalex.org/W2135581534","https://openalex.org/W2136114025","https://openalex.org/W2160842254","https://openalex.org/W2161030490","https://openalex.org/W2161067131","https://openalex.org/W2161229593","https://openalex.org/W2162105856","https://openalex.org/W2166559705","https://openalex.org/W2798766386","https://openalex.org/W4231015361","https://openalex.org/W4248358572","https://openalex.org/W6750230808"],"related_works":["https://openalex.org/W4286895038","https://openalex.org/W2915559073","https://openalex.org/W3094463742","https://openalex.org/W2895744038","https://openalex.org/W2884294946","https://openalex.org/W2951798800","https://openalex.org/W3209392453","https://openalex.org/W4241535341","https://openalex.org/W4311074414","https://openalex.org/W4234819362"],"abstract_inverted_index":{"Privacy-Preserving":[0],"Data":[1],"Publishing":[2],"(PPDP)":[3],"deals":[4],"with":[5],"the":[6,16,38,55,97,104,113,117,129,153,160,164],"publication":[7],"of":[8,40,119,157],"microdata":[9],"while":[10],"preserving":[11],"people'":[12],"private":[13,22],"information":[14,23],"in":[15,89,122],"data.":[17,131],"To":[18],"measure":[19,39,63,67],"how":[20,41],"much":[21,42],"can":[24,44],"be":[25,78],"preserved,":[26],"privacy":[27,35,90],"metrics":[28,36],"is":[29,37,68,94,159],"needed.":[30],"An":[31],"essential":[32],"element":[33],"for":[34],"adversaries":[43],"know":[45,54],"about":[46],"an":[47],"individual's":[48,56],"sensitive":[49],"attributes":[50],"(SA)":[51],"if":[52],"they":[53],"quasi-identifiers":[57],"(QI),":[58],"i.e.,":[59],"we":[60,111,124],"need":[61],"to":[62,70,77,85,138],"P(SA|QI).":[64],"Such":[65],"a":[66,81,136],"hard":[69],"derive":[71],"when":[72],"adversaries'":[73],"background":[74,87,114],"knowledge":[75,88,115],"has":[76],"considered.We":[79],"propose":[80],"systematic":[82],"approach,":[83],"Privacy-MaxEnt,":[84],"integrate":[86],"quantification.":[91],"Our":[92,132],"approach":[93],"based":[95],"on":[96],"maximum":[98,165],"entropy":[99],"principle.":[100],"We":[101],"treat":[102,112],"all":[103,145],"conditional":[105],"probabilities":[106],"P(SA|QI)":[107,158],"as":[108,116],"unknown":[109],"variables;":[110,121],"constraints":[118,127],"these":[120,146],"addition,":[123],"also":[125],"formulate":[126],"from":[128],"published":[130],"goal":[133],"becomes":[134],"finding":[135],"solution":[137],"those":[139],"variables":[140],"(the":[141],"probabilities)":[142],"that":[143,162],"satisfy":[144],"constraints.":[147],"Although":[148],"many":[149],"solutions":[150],"may":[151],"exist,":[152],"most":[154],"unbiased":[155],"estimate":[156],"one":[161],"achieves":[163],"entropy.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}