{"id":"https://openalex.org/W4411403224","doi":"https://doi.org/10.1145/3725265","title":"Approximate DBSCAN under Differential Privacy","display_name":"Approximate DBSCAN under Differential Privacy","publication_year":2025,"publication_date":"2025-06-17","ids":{"openalex":"https://openalex.org/W4411403224","doi":"https://doi.org/10.1145/3725265"},"language":"en","primary_location":{"id":"doi:10.1145/3725265","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3725265","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2508.08749","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072101631","display_name":"Yuan Qiu","orcid":"https://orcid.org/0000-0002-3488-6386"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yuan Qiu","raw_affiliation_strings":["CNRS@CREATE, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-3488-6386","affiliations":[{"raw_affiliation_string":"CNRS@CREATE, Singapore, Singapore","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009196125","display_name":"Ke Yi","orcid":"https://orcid.org/0000-0002-2178-3716"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ke Yi","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-2178-3716","affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5072101631"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9995,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.8826309,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"3","issue":"3","first_page":"1","last_page":"24"},"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9739000201225281,"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":0.9679999947547913,"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/dbscan","display_name":"DBSCAN","score":0.9308540225028992},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7915250062942505},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4988868236541748},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.49715283513069153},{"id":"https://openalex.org/keywords/differential","display_name":"Differential (mechanical device)","score":0.47644951939582825},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.4719977378845215},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4511911869049072},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4425355792045593},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39393317699432373},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24827957153320312},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.21420720219612122},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.203016459941864},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1809411644935608},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.06860601902008057}],"concepts":[{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.9308540225028992},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7915250062942505},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4988868236541748},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.49715283513069153},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.47644951939582825},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.4719977378845215},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4511911869049072},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4425355792045593},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39393317699432373},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24827957153320312},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.21420720219612122},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.203016459941864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1809411644935608},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.06860601902008057},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3725265","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3725265","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"},{"id":"pmh:oai:arXiv.org:2508.08749","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.08749","pdf_url":"https://arxiv.org/pdf/2508.08749","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-151337","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-151337","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Conference paper"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2508.08749","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.08749","pdf_url":"https://arxiv.org/pdf/2508.08749","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W151377110","https://openalex.org/W1604615751","https://openalex.org/W1673310716","https://openalex.org/W1890688605","https://openalex.org/W2009611335","https://openalex.org/W2022542865","https://openalex.org/W2054922243","https://openalex.org/W2090593019","https://openalex.org/W2113054345","https://openalex.org/W2131628270","https://openalex.org/W2141585940","https://openalex.org/W2150593711","https://openalex.org/W2180566385","https://openalex.org/W2293934387","https://openalex.org/W2740866043","https://openalex.org/W2740924709","https://openalex.org/W2755087487","https://openalex.org/W2797942034","https://openalex.org/W2798465726","https://openalex.org/W2799067024","https://openalex.org/W2804415824","https://openalex.org/W2916763046","https://openalex.org/W2982157598","https://openalex.org/W2982437619","https://openalex.org/W2994652980","https://openalex.org/W2997591727","https://openalex.org/W3065436901","https://openalex.org/W3120740533","https://openalex.org/W3162419622","https://openalex.org/W3171463928","https://openalex.org/W3172590570","https://openalex.org/W3174363557","https://openalex.org/W3176244738","https://openalex.org/W3213949152","https://openalex.org/W4229001186","https://openalex.org/W4235169531","https://openalex.org/W4302383442","https://openalex.org/W4321497988","https://openalex.org/W4379113139","https://openalex.org/W4392152312","https://openalex.org/W4392667176","https://openalex.org/W4396913105","https://openalex.org/W4401692616","https://openalex.org/W6657138077","https://openalex.org/W6720608135","https://openalex.org/W6744992943","https://openalex.org/W6765516245","https://openalex.org/W6794412825","https://openalex.org/W6980867601"],"related_works":["https://openalex.org/W3163639875","https://openalex.org/W2364999035","https://openalex.org/W4226497289","https://openalex.org/W2966681114","https://openalex.org/W4386078164","https://openalex.org/W2553918434","https://openalex.org/W2369356834","https://openalex.org/W4367591621","https://openalex.org/W2356023405","https://openalex.org/W2099811626"],"abstract_inverted_index":{"This":[0],"paper":[1],"revisits":[2],"the":[3,16,20,38,51,59,64,80,95,132],"DBSCAN":[4],"problem":[5],"under":[6,113],"differential":[7],"privacy":[8],"(DP).":[9],"Existing":[10],"DP-DBSCAN":[11,48,77,137],"algorithms":[12],"aim":[13],"at":[14],"publishing":[15,58],"cluster":[17],"labels":[18],"of":[19,47,53,66,70,117,135],"input":[21],"points.":[22],"However,":[23],"we":[24,73,121],"show":[25],"that":[26,57],"both":[27,125],"empirically":[28],"and":[29,68,127],"theoretically,":[30],"this":[31],"approach":[32],"cannot":[33],"offer":[34],"any":[35,85],"utility":[36],"in":[37,84,102],"published":[39],"results.":[40],"We":[41,55],"therefore":[42],"propose":[43],"an":[44],"alternative":[45],"definition":[46],"based":[49],"on":[50,94,124],"notion":[52],"spans.":[54],"argue":[56],"spans":[60],"actually":[61],"better":[62],"serves":[63],"purposes":[65],"visualization":[67],"classification":[69],"DBSCAN.":[71],"Then":[72],"present":[74],"a":[75,106,111],"linear-time":[76,107],"algorithm":[78,104,108],"achieving":[79],"sandwich":[81],"quality":[82],"guarantee":[83],"constant":[86],"dimensions,":[87],"as":[88,90],"well":[89],"matching":[91],"lower":[92],"bounds":[93],"approximation":[96],"ratio.":[97],"A":[98],"key":[99],"building":[100],"block":[101],"our":[103,136],"is":[105,116],"for":[109],"constructing":[110],"histogram":[112],"pure-DP,":[114],"which":[115],"independent":[118],"interest.":[119],"Finally,":[120],"conducted":[122],"experiments":[123],"synthetic":[126],"real-world":[128],"datasets":[129],"to":[130],"verify":[131],"practical":[133],"performance":[134],"algorithm.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-13T08:25:38.343686","created_date":"2025-10-10T00:00:00"}