{"id":"https://openalex.org/W4413978225","doi":"https://doi.org/10.14778/3749646.3749687","title":"Practical and Accurate Local Edge Differentially Private Graph Algorithms","display_name":"Practical and Accurate Local Edge Differentially Private Graph Algorithms","publication_year":2025,"publication_date":"2025-07-01","ids":{"openalex":"https://openalex.org/W4413978225","doi":"https://doi.org/10.14778/3749646.3749687"},"language":"en","primary_location":{"id":"doi:10.14778/3749646.3749687","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3749646.3749687","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"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 VLDB Endowment","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/A5067630615","display_name":"Pranay Mundra","orcid":"https://orcid.org/0000-0002-6727-1505"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Pranay Mundra","raw_affiliation_strings":["Yale University, New Haven, CT, USA"],"affiliations":[{"raw_affiliation_string":"Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056111614","display_name":"Charalampos Papamanthou","orcid":"https://orcid.org/0000-0002-1905-9403"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charalampos Papamanthou","raw_affiliation_strings":["Yale University, New Haven, CT, USA"],"affiliations":[{"raw_affiliation_string":"Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051583907","display_name":"Julian Shun","orcid":"https://orcid.org/0000-0001-6163-6625"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Julian Shun","raw_affiliation_strings":["MIT CSAIL, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"MIT CSAIL, Cambridge, MA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079747792","display_name":"Quanquan C. Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Quanquan C. Liu","raw_affiliation_strings":["Yale University, New Haven, CT, USA"],"affiliations":[{"raw_affiliation_string":"Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5067630615"],"corresponding_institution_ids":["https://openalex.org/I32971472"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13612167,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":"11","first_page":"4199","last_page":"4213"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9995999932289124,"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":0.9984999895095825,"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/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5205405950546265},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49741461873054504},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48083314299583435},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44926097989082336},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3306417167186737},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2900766432285309}],"concepts":[{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5205405950546265},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49741461873054504},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48083314299583435},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44926097989082336},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3306417167186737},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2900766432285309}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3749646.3749687","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3749646.3749687","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"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 VLDB Endowment","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W1548756387","https://openalex.org/W1873763122","https://openalex.org/W1967066104","https://openalex.org/W2012992615","https://openalex.org/W2013823004","https://openalex.org/W2074438240","https://openalex.org/W2101196063","https://openalex.org/W2101771965","https://openalex.org/W2103460693","https://openalex.org/W2130099852","https://openalex.org/W2133131640","https://openalex.org/W2133238553","https://openalex.org/W2138865266","https://openalex.org/W2161130929","https://openalex.org/W2164928285","https://openalex.org/W2167372639","https://openalex.org/W2245160765","https://openalex.org/W2294347342","https://openalex.org/W2739409954","https://openalex.org/W2763834249","https://openalex.org/W2766587611","https://openalex.org/W2789220419","https://openalex.org/W2794272206","https://openalex.org/W2914761779","https://openalex.org/W2948055046","https://openalex.org/W2963132290","https://openalex.org/W2963699739","https://openalex.org/W2989394982","https://openalex.org/W3030047573","https://openalex.org/W3093553391","https://openalex.org/W3098674174","https://openalex.org/W3114289308","https://openalex.org/W3117066972","https://openalex.org/W3128100016","https://openalex.org/W3146591378","https://openalex.org/W3169115012","https://openalex.org/W3202629264","https://openalex.org/W3207183145","https://openalex.org/W3209500139","https://openalex.org/W4200208024","https://openalex.org/W4214502646","https://openalex.org/W4223414134","https://openalex.org/W4226159313","https://openalex.org/W4283727584","https://openalex.org/W4285005134","https://openalex.org/W4285100324","https://openalex.org/W4285451014","https://openalex.org/W4289534002","https://openalex.org/W4307396175","https://openalex.org/W4308010480","https://openalex.org/W4313203118","https://openalex.org/W4318185028","https://openalex.org/W4365801624","https://openalex.org/W4366977848","https://openalex.org/W4367663126","https://openalex.org/W4375861625","https://openalex.org/W4377093802","https://openalex.org/W4381328680","https://openalex.org/W4385522595","https://openalex.org/W4385568072","https://openalex.org/W4388858287","https://openalex.org/W4388867283","https://openalex.org/W4391305744","https://openalex.org/W4392340156","https://openalex.org/W4393184946","https://openalex.org/W4406142074","https://openalex.org/W4407152373","https://openalex.org/W6948262310"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"The":[0],"rise":[1],"of":[2,112,126,146,206,217,236],"massive":[3],"networks":[4],"across":[5],"diverse":[6],"domains":[7],"necessitates":[8],"sophisticated":[9],"graph":[10,61,74],"analytics,":[11],"often":[12],"involving":[13],"sensitive":[14],"data":[15],"and":[16,66,77,115,155],"raising":[17],"privacy":[18,28,33],"concerns.":[19],"This":[20],"paper":[21],"addresses":[22],"these":[23],"challenges":[24],"using":[25],"local":[26,174],"differential":[27],"(LDP)":[29],",":[30,44,238],"which":[31,121],"enforces":[32],"at":[34],"the":[35,91,96,110,170,211,215],"individual":[36],"level,":[37],"where":[38],"no":[39],"third-party":[40],"entity":[41],"is":[42],"trusted":[43,51],"unlike":[45,181],"centralized":[46],"models":[47],"that":[48],"assume":[49],"a":[50,139,143,156,178,186],"curator.":[52],"We":[53],"introduce":[54],"novel":[55,157],"LDP":[56],"algorithms":[57,176],"for":[58],"two":[59],"fundamental":[60],"statistics:":[62],"k":[63,198],"-core":[64,199],"decomposition":[65,200],"triangle":[67,105,224],"counting.":[68],"Our":[69,129,223],"approach":[70],"leverages":[71],"input-dependent":[72],"private":[73,140],"properties\u2014specifically":[75],"degeneracy":[76,136],"maximum":[78,92],"degree\u2014to":[79],"improve":[80,108],"theoretical":[81,166],"utility.":[82],"Unlike":[83],"prior":[84,163,182],"methods,":[85],"our":[86,197],"error":[87,123,213],"bounds":[88,122,133],"depend":[89],"on":[90,109,135,185,190],"degree":[93],"rather":[94],"than":[95,162],"total":[97],"edge":[98,127],"count,":[99],"yielding":[100,159],"significantly":[101],"tighter":[102],"guarantees.":[103],"For":[104],"counting,":[106],"we":[107,168],"work":[111,183],"Imola,":[113],"Murakami,":[114],"Chaudhury":[116],"[USENIX":[117],"Security":[118],"'21,":[119],"'22],":[120],"in":[124,177,214],"terms":[125],"count.":[128],"algorithm":[130,226],"instead":[131],"achieves":[132,201],"based":[134],"by":[137,231],"leveraging":[138],"out-degree":[141],"orientation,":[142],"refined":[144],"variant":[145],"Eden":[147],"et":[148,219],"al.'s":[149],"randomized":[150],"response":[151],"technique":[152],"[ICALP":[153],"'23],":[154],"analysis,":[158],"stronger":[160],"guarantees":[161],"work.":[164],"Beyond":[165],"gains,":[167],"are":[169],"first":[171],"to":[172,233],"evaluate":[173],"DP":[175],"distributed":[179],"simulation,":[180],"tested":[184],"single":[187],"processor.":[188],"Experiments":[189],"real-world":[191],"graphs":[192],"show":[193],"substantial":[194],"accuracy":[195],"gains:":[196],"errors":[202,230],"within":[203],"3":[204],"x":[205],"exact":[207],"values,":[208],"far":[209],"outperforming":[210],"131x":[212],"baseline":[216],"Dhulipala":[218],"al.":[220],"[FOCS":[221],"'22].":[222],"counting":[225],"reduces":[227],"multiplicative":[228],"approximation":[229],"up":[232],"six":[234],"orders":[235],"magnitude":[237],"while":[239],"maintaining":[240],"competitive":[241],"runtime.":[242]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
