{"id":"https://openalex.org/W3161217554","doi":"https://doi.org/10.1109/isit45174.2021.9518145","title":"Database Matching Under Column Deletions","display_name":"Database Matching Under Column Deletions","publication_year":2021,"publication_date":"2021-07-12","ids":{"openalex":"https://openalex.org/W3161217554","doi":"https://doi.org/10.1109/isit45174.2021.9518145","mag":"3161217554"},"language":"en","primary_location":{"id":"doi:10.1109/isit45174.2021.9518145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit45174.2021.9518145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2105.09616","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035079995","display_name":"Serhat Bakirtas","orcid":"https://orcid.org/0000-0001-6192-9006"},"institutions":[{"id":"https://openalex.org/I102475099","display_name":"Sup\u00e9lec","ror":"https://ror.org/00n7gwn90","country_code":"FR","type":"education","lineage":["https://openalex.org/I102475099"]},{"id":"https://openalex.org/I15196421","display_name":"University of Applied Sciences and Arts of Southern Switzerland","ror":"https://ror.org/05ep8g269","country_code":"CH","type":"education","lineage":["https://openalex.org/I15196421"]},{"id":"https://openalex.org/I4210102264","display_name":"Shandong University of Political Science and Law","ror":"https://ror.org/01b2j5886","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210102264"]},{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["CH","CN","FR","US"],"is_corresponding":true,"raw_author_name":"Serhat Bak\u0131rta\u015f","raw_affiliation_strings":["New York University,Dept. of Electrical and Computer Engineering,NY,USA","New York University<sup>**</sup>"],"affiliations":[{"raw_affiliation_string":"New York University,Dept. of Electrical and Computer Engineering,NY,USA","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"New York University<sup>**</sup>","institution_ids":["https://openalex.org/I15196421","https://openalex.org/I4210102264","https://openalex.org/I102475099"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084526367","display_name":"Elza Erkip","orcid":"https://orcid.org/0000-0001-8718-8648"},"institutions":[{"id":"https://openalex.org/I102475099","display_name":"Sup\u00e9lec","ror":"https://ror.org/00n7gwn90","country_code":"FR","type":"education","lineage":["https://openalex.org/I102475099"]},{"id":"https://openalex.org/I15196421","display_name":"University of Applied Sciences and Arts of Southern Switzerland","ror":"https://ror.org/05ep8g269","country_code":"CH","type":"education","lineage":["https://openalex.org/I15196421"]},{"id":"https://openalex.org/I4210102264","display_name":"Shandong University of Political Science and Law","ror":"https://ror.org/01b2j5886","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210102264"]},{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["CH","CN","FR","US"],"is_corresponding":false,"raw_author_name":"Elza Erkip","raw_affiliation_strings":["New York University,Dept. of Electrical and Computer Engineering,NY,USA","New York University<sup>**</sup>"],"affiliations":[{"raw_affiliation_string":"New York University,Dept. of Electrical and Computer Engineering,NY,USA","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"New York University<sup>**</sup>","institution_ids":["https://openalex.org/I15196421","https://openalex.org/I4210102264","https://openalex.org/I102475099"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035079995"],"corresponding_institution_ids":["https://openalex.org/I102475099","https://openalex.org/I15196421","https://openalex.org/I4210102264","https://openalex.org/I57206974"],"apc_list":null,"apc_paid":null,"fwci":0.42,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68371078,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2720","last_page":"2725"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9984999895095825,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/column","display_name":"Column (typography)","score":0.6885181069374084},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6682894229888916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6436233520507812},{"id":"https://openalex.org/keywords/row","display_name":"Row","score":0.5826148986816406},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.5162415504455566},{"id":"https://openalex.org/keywords/row-and-column-spaces","display_name":"Row and column spaces","score":0.47619760036468506},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.47476649284362793},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.46170786023139954},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45733529329299927},{"id":"https://openalex.org/keywords/blossom-algorithm","display_name":"Blossom algorithm","score":0.4232426881790161},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35432857275009155},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2754674553871155},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17690452933311462}],"concepts":[{"id":"https://openalex.org/C2780551164","wikidata":"https://www.wikidata.org/wiki/Q2306599","display_name":"Column (typography)","level":3,"score":0.6885181069374084},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6682894229888916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6436233520507812},{"id":"https://openalex.org/C135598885","wikidata":"https://www.wikidata.org/wiki/Q1366302","display_name":"Row","level":2,"score":0.5826148986816406},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.5162415504455566},{"id":"https://openalex.org/C104140500","wikidata":"https://www.wikidata.org/wiki/Q2088159","display_name":"Row and column spaces","level":3,"score":0.47619760036468506},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.47476649284362793},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.46170786023139954},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45733529329299927},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.4232426881790161},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35432857275009155},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2754674553871155},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17690452933311462},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/isit45174.2021.9518145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit45174.2021.9518145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2105.09616","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.09616","pdf_url":"https://arxiv.org/pdf/2105.09616","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:3161217554","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2105.09616v1","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2105.09616","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2105.09616","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2105.09616","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.09616","pdf_url":"https://arxiv.org/pdf/2105.09616","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1648188573","display_name":null,"funder_award_id":"1815821","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1909196750","display_name":null,"funder_award_id":"CCF-1815821","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3161217554.pdf","grobid_xml":"https://content.openalex.org/works/W3161217554.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W68542029","https://openalex.org/W1975937116","https://openalex.org/W1991983464","https://openalex.org/W2099111195","https://openalex.org/W2125870772","https://openalex.org/W2135930857","https://openalex.org/W2140017953","https://openalex.org/W2195256693","https://openalex.org/W2800768457","https://openalex.org/W2914662309","https://openalex.org/W2962832292","https://openalex.org/W2963143232","https://openalex.org/W2963365826","https://openalex.org/W2963551335","https://openalex.org/W2977090993","https://openalex.org/W3030897411","https://openalex.org/W4235132786"],"related_works":["https://openalex.org/W3196815013","https://openalex.org/W1962239380","https://openalex.org/W2810537052","https://openalex.org/W2192716235","https://openalex.org/W1981055269","https://openalex.org/W2912642862","https://openalex.org/W2802410939","https://openalex.org/W2366856627","https://openalex.org/W2800768457","https://openalex.org/W2606988438","https://openalex.org/W1882563009","https://openalex.org/W2737061368","https://openalex.org/W2952022770","https://openalex.org/W1978368548","https://openalex.org/W2087829218","https://openalex.org/W1579139951","https://openalex.org/W2888692655","https://openalex.org/W2901083288","https://openalex.org/W2913363441","https://openalex.org/W1997376594"],"abstract_inverted_index":{"De-anonymizing":[0],"user":[1,8],"identities":[2],"by":[3,41],"matching":[4,51,77],"various":[5],"forms":[6],"of":[7,20,31,52,83,108,134],"data":[9],"available":[10],"on":[11,126],"the":[12,21,71,79,96,127,135,139,147,151,163,174],"internet":[13],"raises":[14],"privacy":[15,22],"concerns.":[16],"A":[17],"fundamental":[18],"understanding":[19],"leakage":[23],"in":[24,44,48,66,78,132],"such":[25],"scenarios":[26],"requires":[27],"a":[28,106,111,123,157,168,180],"careful":[29],"study":[30],"conditions":[32,74],"under":[33,55],"which":[34],"correlated":[35],"databases":[36,54],"can":[37],"be":[38],"matched.":[39],"Motivated":[40],"synchronization":[42],"errors":[43],"time":[45],"indexed":[46],"databases,":[47],"this":[49],"work,":[50],"random":[53,56],"column":[57,136],"deletion":[58,72,84,92,112,118,129,159],"is":[59,120,142,177],"investigated.":[60],"Adapting":[61],"tools":[62],"from":[63],"information":[64,86,93,119],"theory,":[65],"particular":[67],"ones":[68],"developed":[69],"for":[70,75,101,179],"channel,":[73],"database":[76,98,148],"absence":[80],"and":[81,122,138,150],"presence":[82],"location":[85],"are":[87],"derived,":[88],"showing":[89],"that":[90,115,167],"partial":[91,117],"significantly":[94],"increases":[95],"achievable":[97],"growth":[99],"rate":[100],"successful":[102],"matching.":[103],"Furthermore,":[104],"given":[105,158],"batch":[107,140,152,169],"correctly-matched":[109],"rows,":[110],"detection":[113,130,160,182],"algorithm":[114,165],"provides":[116],"proposed":[121,164],"lower":[124],"bound":[125],"algorithm's":[128],"probability":[131,161,183],"terms":[133],"size":[137,141,149,153,170,176],"derived.":[143],"The":[144],"relationship":[145],"between":[146],"required":[154],"to":[155],"guarantee":[156],"using":[162],"suggests":[166],"growing":[171],"double-logarithmic":[172],"with":[173],"row":[175],"sufficient":[178],"nonzero":[181],"guarantee.":[184]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
