{"id":"https://openalex.org/W2604552141","doi":"https://doi.org/10.1515/popets-2018-0034","title":"Privacy-Preserving Search of Similar Patients in Genomic Data","display_name":"Privacy-Preserving Search of Similar Patients in Genomic Data","publication_year":2018,"publication_date":"2018-08-29","ids":{"openalex":"https://openalex.org/W2604552141","doi":"https://doi.org/10.1515/popets-2018-0034","mag":"2604552141"},"language":"en","primary_location":{"id":"doi:10.1515/popets-2018-0034","is_oa":true,"landing_page_url":"https://doi.org/10.1515/popets-2018-0034","pdf_url":"https://content.sciendo.com/downloadpdf/journals/popets/2018/4/article-p104.pdf","source":{"id":"https://openalex.org/S4210183172","display_name":"Proceedings on Privacy Enhancing Technologies","issn_l":"2299-0984","issn":["2299-0984"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings on Privacy Enhancing Technologies","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://content.sciendo.com/downloadpdf/journals/popets/2018/4/article-p104.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042677137","display_name":"Gilad Asharov","orcid":"https://orcid.org/0000-0002-0846-9773"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]},{"id":"https://openalex.org/I4405261073","display_name":"Cornell Tech","ror":"https://ror.org/04qscbg47","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295","https://openalex.org/I4405261073"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gilad Asharov","raw_affiliation_strings":["Cornell Tech , NY "],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell Tech , NY ","institution_ids":["https://openalex.org/I205783295","https://openalex.org/I4405261073"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073301367","display_name":"Shai Halevi","orcid":"https://orcid.org/0000-0003-3432-7899"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shai Halevi","raw_affiliation_strings":["IBM Research , NY "],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research , NY ","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033036383","display_name":"Yehuda Lindell","orcid":"https://orcid.org/0000-0002-8176-690X"},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Yehuda Lindell","raw_affiliation_strings":["Bar-Ilan University , Israel "],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bar-Ilan University , Israel ","institution_ids":["https://openalex.org/I13955877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038752563","display_name":"Tal Rabin","orcid":"https://orcid.org/0000-0003-1386-605X"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tal Rabin","raw_affiliation_strings":["IBM Research , NY "],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research , NY ","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.345,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":{"value":0.97034377,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"2018","issue":"4","first_page":"104","last_page":"124"},"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":0.9994999766349792,"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":0.9925000071525574,"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/computer-science","display_name":"Computer science","score":0.7242341637611389},{"id":"https://openalex.org/keywords/closeness","display_name":"Closeness","score":0.7130165100097656},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6932578086853027},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.6375973224639893},{"id":"https://openalex.org/keywords/secure-multi-party-computation","display_name":"Secure multi-party computation","score":0.5815869569778442},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.47703975439071655},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.46123647689819336},{"id":"https://openalex.org/keywords/genome","display_name":"Genome","score":0.415945440530777},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.381841778755188},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17855128645896912},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16323015093803406},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13070473074913025},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.11163750290870667},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.09435248374938965},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.08538714051246643}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7242341637611389},{"id":"https://openalex.org/C2779545769","wikidata":"https://www.wikidata.org/wiki/Q5135364","display_name":"Closeness","level":2,"score":0.7130165100097656},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6932578086853027},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.6375973224639893},{"id":"https://openalex.org/C18396474","wikidata":"https://www.wikidata.org/wiki/Q2465888","display_name":"Secure multi-party computation","level":3,"score":0.5815869569778442},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.47703975439071655},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.46123647689819336},{"id":"https://openalex.org/C141231307","wikidata":"https://www.wikidata.org/wiki/Q7020","display_name":"Genome","level":3,"score":0.415945440530777},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.381841778755188},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17855128645896912},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16323015093803406},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13070473074913025},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.11163750290870667},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.09435248374938965},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.08538714051246643},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1515/popets-2018-0034","is_oa":true,"landing_page_url":"https://doi.org/10.1515/popets-2018-0034","pdf_url":"https://content.sciendo.com/downloadpdf/journals/popets/2018/4/article-p104.pdf","source":{"id":"https://openalex.org/S4210183172","display_name":"Proceedings on Privacy Enhancing Technologies","issn_l":"2299-0984","issn":["2299-0984"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings on Privacy Enhancing Technologies","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b950d86e991d4fa3a4ecf7e1bf1834ef","is_oa":true,"landing_page_url":"https://doaj.org/article/b950d86e991d4fa3a4ecf7e1bf1834ef","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings on Privacy Enhancing Technologies, Vol 2018, Iss 4, Pp 104-124 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1515/popets-2018-0034","is_oa":true,"landing_page_url":"https://doi.org/10.1515/popets-2018-0034","pdf_url":"https://content.sciendo.com/downloadpdf/journals/popets/2018/4/article-p104.pdf","source":{"id":"https://openalex.org/S4210183172","display_name":"Proceedings on Privacy Enhancing Technologies","issn_l":"2299-0984","issn":["2299-0984"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings on Privacy Enhancing Technologies","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W190228621","https://openalex.org/W780859780","https://openalex.org/W1521213514","https://openalex.org/W1635497822","https://openalex.org/W1826277484","https://openalex.org/W1970026646","https://openalex.org/W1987521207","https://openalex.org/W1997859100","https://openalex.org/W2019891719","https://openalex.org/W2019972981","https://openalex.org/W2027471022","https://openalex.org/W2055693471","https://openalex.org/W2074231493","https://openalex.org/W2087135382","https://openalex.org/W2088492763","https://openalex.org/W2106217851","https://openalex.org/W2119948977","https://openalex.org/W2136068515","https://openalex.org/W2156001253","https://openalex.org/W2166971704","https://openalex.org/W2188232729","https://openalex.org/W2275295769","https://openalex.org/W2737931494","https://openalex.org/W2742045254","https://openalex.org/W2949933192","https://openalex.org/W2990399857","https://openalex.org/W3214174848","https://openalex.org/W4300601563"],"related_works":["https://openalex.org/W1995054232","https://openalex.org/W2156910174","https://openalex.org/W1556709767","https://openalex.org/W2011510925","https://openalex.org/W1557920161","https://openalex.org/W1993023208","https://openalex.org/W4291020658","https://openalex.org/W2593813644","https://openalex.org/W1562218326","https://openalex.org/W2061476331"],"abstract_inverted_index":{"Abstract":[0],"The":[1],"growing":[2],"availability":[3],"of":[4,27,36,57,74,94,138,160,168,189,214,217,220,235,246,255,277,285],"genomic":[5,46,68],"data":[6,31,73],"holds":[7,54],"great":[8],"promise":[9],"for":[10,23,84,129,134,198],"advancing":[11],"medicine":[12],"and":[13,70,80,103,192,222,232],"research,":[14],"but":[15],"unlocking":[16],"its":[17],"full":[18],"potential":[19],"requires":[20],"adequate":[21],"methods":[22],"protecting":[24],"the":[25,55,72,97,111,139,158,169,176,183,190,229,233,236,244,247,266],"privacy":[26,98,117],"individuals":[28,65,76],"whose":[29],"genome":[30,56],"we":[32,105,123],"use.":[33],"One":[34],"example":[35],"this":[37,49,121],"tension":[38],"is":[39,89,155,282],"running":[40],"Similar":[41,140],"Patient":[42,141],"Query":[43,142],"on":[44,147,210],"remote":[45],"data:":[47],"In":[48,120],"setting":[50],"a":[51,91,116,126,205,252,262,271,274],"doctor":[52],"that":[53,85,154,175],"his/her":[58],"patient":[59],"may":[60],"try":[61],"to":[62,77,108,208,264,270],"find":[63,81,265],"other":[64],"with":[66,157,212,227,293],"\u201cclose\u201d":[67],"data,":[69],"use":[71],"these":[75],"help":[78],"diagnose":[79],"effective":[82],"treatment":[83],"patient\u2019s":[86],"conditions.":[87],"This":[88,281],"clearly":[90],"desirable":[92],"mode":[93],"operation.":[95],"However,":[96],"exposure":[99],"implications":[100],"are":[101],"considerable,":[102],"so":[104],"would":[106],"like":[107],"carry":[109],"out":[110],"above":[112],"\u201ccloseness\u201d":[113],"computation":[114,133],"in":[115,187,238,243,273],"preserving":[118],"manner.":[119],"work":[122],"put":[124],"forward":[125],"new":[127],"approach":[128],"highly":[130],"efficient":[131,162],"secure":[132,291],"computing":[135],"an":[136,151,241],"approximation":[137,152,177,195],"problem.":[143],"We":[144],"present":[145],"contributions":[146],"two":[148],"fronts.":[149],"First,":[150],"method":[153,178],"designed":[156],"goal":[159],"achieving":[161],"private":[163],"computation.":[164],"Second,":[165],"further":[166],"optimizations":[167],"two-party":[170],"protocol.":[171],"Our":[172],"tests":[173],"indicate":[174],"works":[179],"well,":[180],"it":[181,223,259],"returns":[182],"exact":[184],"closest":[185],"records":[186,269],"98%":[188],"queries":[191],"very":[193],"good":[194],"otherwise.":[196],"As":[197,240],"speed,":[199],"our":[200],"protocol":[201],"implementation":[202],"takes":[203,260],"just":[204],"few":[206],"seconds":[207],"run":[209],"databases":[211],"thousands":[213,219],"records,":[215],"each":[216],"length":[218,234],"alleles,":[221],"scales":[224],"almost":[225],"linearly":[226],"both":[228],"database":[230],"size":[231],"sequences":[237],"it.":[239],"example,":[242],"datasets":[245],"recent":[248],"iDASH":[249],"competition,":[250],"after":[251],"one-time":[253],"preprocessing":[254],"around":[256,261],"12":[257],"seconds,":[258],"second":[263],"nearest":[267],"five":[268],"query,":[272],"size-500":[275],"dataset":[276],"length-":[278],"3500":[279],"sequences.":[280],"2-3":[283],"orders":[284],"magnitude":[286],"faster":[287],"than":[288],"using":[289],"state-of-the-art":[290],"protocols":[292],"existing":[294],"edit":[295],"distance":[296],"algorithms.":[297]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":5}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2017-04-14T00:00:00"}