{"id":"https://openalex.org/W4411403532","doi":"https://doi.org/10.1145/3725397","title":"Computing Inconsistency Measures Under Differential Privacy","display_name":"Computing Inconsistency Measures Under Differential Privacy","publication_year":2025,"publication_date":"2025-06-17","ids":{"openalex":"https://openalex.org/W4411403532","doi":"https://doi.org/10.1145/3725397"},"language":"en","primary_location":{"id":"doi:10.1145/3725397","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3725397","pdf_url":null,"source":{"id":"https://openalex.org/S4387289859","display_name":"Proceedings of the ACM on Management of Data","issn_l":"2836-6573","issn":["2836-6573"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Management of Data","raw_type":"journal-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/A5035707790","display_name":"Shubhankar Mohapatra","orcid":"https://orcid.org/0000-0002-8523-3019"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Shubhankar Mohapatra","raw_affiliation_strings":["University of Waterloo, Waterloo, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0002-8523-3019","affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027907153","display_name":"Amir Gilad","orcid":"https://orcid.org/0000-0002-3764-1958"},"institutions":[{"id":"https://openalex.org/I197251160","display_name":"Hebrew University of Jerusalem","ror":"https://ror.org/03qxff017","country_code":"IL","type":"education","lineage":["https://openalex.org/I197251160"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Amir Gilad","raw_affiliation_strings":["Hebrew University, Jerusalem, Israel"],"raw_orcid":"https://orcid.org/0000-0002-3764-1958","affiliations":[{"raw_affiliation_string":"Hebrew University, Jerusalem, Israel","institution_ids":["https://openalex.org/I197251160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106417734","display_name":"Xi He","orcid":"https://orcid.org/0000-0002-4999-4937"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xi He","raw_affiliation_strings":["University of Waterloo, Waterloo, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0002-4999-4937","affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006706357","display_name":"Benny Kimelfeld","orcid":"https://orcid.org/0000-0002-7156-1572"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Benny Kimelfeld","raw_affiliation_strings":["Technion, Haifa, Israel"],"raw_orcid":"https://orcid.org/0000-0002-7156-1572","affiliations":[{"raw_affiliation_string":"Technion, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5175,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.92732491,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"3","issue":"3","first_page":"1","last_page":"27"},"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":0.996999979019165,"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":0.9750999808311462,"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/differential-privacy","display_name":"Differential privacy","score":0.8430959582328796},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7425553798675537},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.6055623888969421},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5761621594429016},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5574867725372314},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.5164921283721924},{"id":"https://openalex.org/keywords/information-sensitivity","display_name":"Information sensitivity","score":0.4810252785682678},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.46350210905075073},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18156331777572632},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.10059013962745667}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.8430959582328796},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7425553798675537},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.6055623888969421},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5761621594429016},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5574867725372314},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.5164921283721924},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.4810252785682678},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.46350210905075073},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18156331777572632},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.10059013962745667},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3725397","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3725397","pdf_url":null,"source":{"id":"https://openalex.org/S4387289859","display_name":"Proceedings of the ACM on Management of Data","issn_l":"2836-6573","issn":["2836-6573"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Management of Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6299999952316284}],"awards":[{"id":"https://openalex.org/G8714851527","display_name":null,"funder_award_id":"1702/24","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1656495400","https://openalex.org/W1891714937","https://openalex.org/W1981029888","https://openalex.org/W2044469685","https://openalex.org/W2080900058","https://openalex.org/W2081186682","https://openalex.org/W2123820077","https://openalex.org/W2125678004","https://openalex.org/W2150611147","https://openalex.org/W2153531471","https://openalex.org/W2154711640","https://openalex.org/W2162449239","https://openalex.org/W2163600218","https://openalex.org/W2168433392","https://openalex.org/W2170712852","https://openalex.org/W2236011587","https://openalex.org/W2340222647","https://openalex.org/W2406036028","https://openalex.org/W2419749112","https://openalex.org/W2436309872","https://openalex.org/W2499426327","https://openalex.org/W2569536984","https://openalex.org/W2591700809","https://openalex.org/W2612690371","https://openalex.org/W2626769593","https://openalex.org/W2772675153","https://openalex.org/W2884174229","https://openalex.org/W2884738118","https://openalex.org/W2964282477","https://openalex.org/W2970408474","https://openalex.org/W3008589870","https://openalex.org/W3015632420","https://openalex.org/W3015738839","https://openalex.org/W3028120587","https://openalex.org/W3030496122","https://openalex.org/W3046745582","https://openalex.org/W3089767549","https://openalex.org/W3105622409","https://openalex.org/W3126102579","https://openalex.org/W3145740377","https://openalex.org/W3173144982","https://openalex.org/W3176539131","https://openalex.org/W3197758686","https://openalex.org/W4226367749","https://openalex.org/W4234726042","https://openalex.org/W4248861293","https://openalex.org/W4281756446","https://openalex.org/W4283220764","https://openalex.org/W4320170171","https://openalex.org/W4321764144","https://openalex.org/W4389315081","https://openalex.org/W4407690053","https://openalex.org/W6775864387","https://openalex.org/W6824583106","https://openalex.org/W6888840370","https://openalex.org/W6964939693"],"related_works":["https://openalex.org/W2748020237","https://openalex.org/W2019704260","https://openalex.org/W2900631219","https://openalex.org/W4212899026","https://openalex.org/W4390570329","https://openalex.org/W2795052735","https://openalex.org/W2603823019","https://openalex.org/W2758544064","https://openalex.org/W3010824232","https://openalex.org/W4286750579"],"abstract_inverted_index":{"Assessing":[0],"data":[1,13,50],"quality":[2,47],"is":[3,72,120],"crucial":[4],"to":[5,10,29,44,152],"knowing":[6],"whether":[7],"and":[8,81,147,171],"how":[9],"use":[11],"the":[12,31,46,57,82,110,117,129,134,141,168,191,202,205],"for":[14,62,116],"different":[15],"purposes.":[16],"Specifically,":[17],"given":[18],"a":[19,34,63,144,172],"collection":[20],"of":[21,33,48,59,84,175,190,204],"integrity":[22],"constraints,":[23,200],"various":[24],"ways":[25],"have":[26,97],"been":[27,98],"proposed":[28,99,157],"quantify":[30],"inconsistency":[32,60,94],"database.":[35],"Inconsistency":[36],"measures":[37,61,76,95,193],"are":[38,107],"particularly":[39],"important":[40],"when":[41],"we":[42,103,139,184],"wish":[43],"assess":[45],"private":[49,149],"without":[51],"revealing":[52],"sensitive":[53,79,90],"information.":[54],"We":[55,180],"study":[56],"estimation":[58,71],"database":[64],"protected":[65],"under":[66],"Differential":[67],"Privacy":[68],"(DP).":[69],"Such":[70],"nontrivial":[73],"since":[74],"some":[75],"intrinsically":[77],"query":[78],"information,":[80],"computation":[83],"others":[85],"involves":[86],"functions":[87],"on":[88,167,194],"underlying":[89],"data.":[91],"Among":[92],"five":[93,195],"that":[96,105,183],"in":[100,109],"recent":[101],"work,":[102],"identify":[104],"two":[106],"intractable":[108],"DP":[111,173,188],"setting.":[112],"The":[113,156],"major":[114],"challenge":[115],"other":[118],"three":[119,192],"high":[121],"sensitivity:":[122],"adding":[123],"or":[124],"removing":[125],"one":[126],"tuple":[127],"from":[128],"dataset":[130,142],"may":[131],"significantly":[132],"affect":[133],"outcome.":[135],"To":[136],"mitigate":[137],"that,":[138],"model":[140],"using":[143],"conflict":[145,169,206],"graph":[146,150,170],"investigate":[148],"statistics":[151],"estimate":[153],"these":[154],"measures.":[155],"machinery":[158],"includes":[159],"adapting":[160],"graph-projection":[161],"techniques":[162],"with":[163,198],"parameter":[164],"selection":[165],"optimizations":[166],"variant":[174],"approximate":[176],"vertex":[177],"cover":[178],"size.":[179],"experimentally":[181],"show":[182],"can":[185],"effectively":[186],"compute":[187],"estimates":[189],"real-world":[196],"datasets":[197],"denial":[199],"where":[201],"density":[203],"graphs":[207],"highly":[208],"varies.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
