{"id":"https://openalex.org/W7163706235","doi":"https://doi.org/10.48550/arxiv.2606.05648","title":"Protecting K-Nearest Neighbor Queries from Location Inference Attacks","display_name":"Protecting K-Nearest Neighbor Queries from Location Inference Attacks","publication_year":2026,"publication_date":"2026-06-04","ids":{"openalex":"https://openalex.org/W7163706235","doi":"https://doi.org/10.48550/arxiv.2606.05648"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.05648","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.05648","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.05648","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137999054","display_name":"Zhiyu Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Zhiyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137921962","display_name":"Jie Fu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fu, Jie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137965564","display_name":"Xinpeng Ling","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ling, Xinpeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137949390","display_name":"Huifa Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Huifa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137953055","display_name":"Zhili Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Zhili","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9366000294685364,"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":0.9366000294685364,"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":0.02370000071823597,"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/T11106","display_name":"Data Management and Algorithms","score":0.016599999740719795,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7167999744415283},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6650000214576721},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"Privacy protection","score":0.5310999751091003},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4699000120162964},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.46369999647140503},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.3873000144958496},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.3650999963283539},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.364300012588501},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.3422999978065491}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7642999887466431},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.7167999744415283},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6650000214576721},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.5310999751091003},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5235000252723694},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4699000120162964},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.46369999647140503},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.3873000144958496},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.3650999963283539},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.364300012588501},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3456999957561493},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.3422999978065491},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.31690001487731934},{"id":"https://openalex.org/C155292070","wikidata":"https://www.wikidata.org/wiki/Q1198122","display_name":"Location-based service","level":2,"score":0.3154999911785126},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3125999867916107},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2992999851703644},{"id":"https://openalex.org/C24028149","wikidata":"https://www.wikidata.org/wiki/Q7094056","display_name":"Online aggregation","level":5,"score":0.28529998660087585},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C140547941","wikidata":"https://www.wikidata.org/wiki/Q7797194","display_name":"Threat model","level":2,"score":0.26930001378059387},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2669000029563904},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.2653000056743622},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.26100000739097595},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26080000400543213},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.26030001044273376},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.25760000944137573}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.05648","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.05648","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.05648","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.05648","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6972070336341858,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,87],"k-nearest":[1],"neighbor":[2],"query":[3,143,164],"(kNNQ)":[4],"is":[5,92,168],"a":[6,80,95,100,118,135],"core":[7,88],"component":[8],"of":[9,90],"modern":[10],"location-based":[11],"services":[12],"(LBS)":[13],"and":[14,54,142,163],"has":[15],"been":[16,33],"widely":[17],"adopted":[18],"in":[19,145,159],"popular":[20],"features":[21],"such":[22],"as":[23],"``people":[24],"nearby''.":[25],"However,":[26],"its":[27],"potential":[28],"privacy":[29,66,74,82,140,161],"risks":[30,67],"have":[31],"long":[32],"overlooked.":[34],"In":[35,114],"this":[36],"work,":[37],"we":[38,76,116],"present":[39],"the":[40,47,55,63,106,125,129],"first":[41],"two":[42],"attacks":[43],"against":[44],"kNNQ,":[45],"namely":[46],"geometric":[48],"intersection":[49],"location":[50,58,65],"inference":[51,59],"attack":[52,60],"(GI-LIA)":[53],"zero-order":[56],"optimization":[57],"(ZO-LIA),":[61],"revealing":[62],"inherent":[64],"posed":[68],"by":[69,110],"kNNQ.":[70,146],"To":[71],"mitigate":[72],"these":[73],"risks,":[75],"further":[77],"propose":[78],"DPRS,":[79],"differential":[81],"framework":[83],"for":[84],"kNNQ":[85],"protection.":[86],"idea":[89],"DPRS":[91,155],"to":[93,123,133],"incorporate":[94],"rejection":[96,130],"sampling":[97,131],"mechanism":[98,132],"within":[99],"constrained":[101],"perturbation":[102,126],"interval,":[103,127],"thereby":[104],"mitigating":[105],"distance":[107],"distortion":[108],"caused":[109],"excessive":[111],"noise":[112],"injection.":[113],"addition,":[115],"design":[117],"private":[119],"interval":[120],"construction":[121],"algorithm":[122],"construct":[124],"enabling":[128],"achieve":[134],"more":[136],"favorable":[137],"trade-off":[138],"between":[139],"protection":[141,162],"utility":[144],"Extensive":[147],"experiments":[148],"on":[149],"real-world":[150],"spatial":[151],"datasets":[152],"demonstrate":[153],"that":[154],"outperforms":[156],"existing":[157],"methods":[158],"both":[160],"utility.":[165],"Our":[166],"code":[167],"available":[169],"at":[170],"https://github.com/reanatom/DPRS.":[171]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-06T00:00:00"}