{"id":"https://openalex.org/W2109135024","doi":"https://doi.org/10.1145/1835804.1835868","title":"Data mining with differential privacy","display_name":"Data mining with differential privacy","publication_year":2010,"publication_date":"2010-07-25","ids":{"openalex":"https://openalex.org/W2109135024","doi":"https://doi.org/10.1145/1835804.1835868","mag":"2109135024"},"language":"en","primary_location":{"id":"doi:10.1145/1835804.1835868","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1835804.1835868","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"},"type":"conference-paper","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/A5001070512","display_name":"Arik Friedman","orcid":"https://orcid.org/0000-0002-4978-9407"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Arik Friedman","raw_affiliation_strings":["Technion - Israel Institute of Technology, Haifa, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technion - Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090998564","display_name":"Assaf Schuster","orcid":"https://orcid.org/0000-0002-3311-6937"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Assaf Schuster","raw_affiliation_strings":["Technion - Israel Institute of Technology, Haifa, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technion - Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I174306211"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":474,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"493","last_page":"502"},"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/T10237","display_name":"Cryptography and Data Security","score":0.9926000237464905,"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8529531955718994},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.8185831308364868},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5835292339324951},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5800256729125977},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.5399065613746643},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5316890478134155},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5184431076049805},{"id":"https://openalex.org/keywords/privacy-software","display_name":"Privacy software","score":0.49375733733177185},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.462738573551178},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.45598462224006653},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2435862123966217},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19543489813804626},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18616771697998047},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07489293813705444}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8529531955718994},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.8185831308364868},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5835292339324951},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5800256729125977},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.5399065613746643},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5316890478134155},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5184431076049805},{"id":"https://openalex.org/C509729295","wikidata":"https://www.wikidata.org/wiki/Q7246032","display_name":"Privacy software","level":3,"score":0.49375733733177185},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.462738573551178},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.45598462224006653},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2435862123966217},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19543489813804626},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18616771697998047},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07489293813705444},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1835804.1835868","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1835804.1835868","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.799.7017","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.799.7017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.technion.ac.il/%7Earikf/online-publications/DiffPDataMining10.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W61363324","https://openalex.org/W1504694836","https://openalex.org/W1570448133","https://openalex.org/W1594031697","https://openalex.org/W1873763122","https://openalex.org/W1993116423","https://openalex.org/W1999011285","https://openalex.org/W2010523825","https://openalex.org/W2022097286","https://openalex.org/W2036737894","https://openalex.org/W2068714596","https://openalex.org/W2084812512","https://openalex.org/W2096870293","https://openalex.org/W2097272254","https://openalex.org/W2109426455","https://openalex.org/W2112380340","https://openalex.org/W2124765629","https://openalex.org/W2125055259","https://openalex.org/W2129157759","https://openalex.org/W2149706766","https://openalex.org/W2169570643","https://openalex.org/W2911978475","https://openalex.org/W2913538792","https://openalex.org/W2966207845","https://openalex.org/W2982720039","https://openalex.org/W3009784374","https://openalex.org/W4255574744","https://openalex.org/W4256238177"],"related_works":["https://openalex.org/W4304208041","https://openalex.org/W4315488958","https://openalex.org/W3176515490","https://openalex.org/W4226426276","https://openalex.org/W3185918024","https://openalex.org/W3138333794","https://openalex.org/W2773408865","https://openalex.org/W2083287929","https://openalex.org/W4241535341","https://openalex.org/W2735874745"],"abstract_inverted_index":{"We":[0,93,133],"consider":[1],"the":[2,18,41,52,59,71,77,99,102,123,126,130,140,157,165],"problem":[3,96],"of":[4,76,125,160,172],"data":[5,13,38,53,60,83,90,131],"mining":[6,84,91],"with":[7,169],"formal":[8],"privacy":[9,20,23,44,81,100,116,163],"guarantees,":[10],"given":[11],"a":[12,73,112,119,147],"access":[14,50],"interface":[15,46,78],"based":[16],"on":[17,107,122],"differential":[19],"framework.":[21],"Differential":[22],"requires":[24],"that":[25,135],"computations":[26],"be":[27],"insensitive":[28],"to":[29,51,79,88],"changes":[30],"in":[31,64,70],"any":[32,62],"particular":[33],"individual's":[34],"record,":[35],"thereby":[36],"restricting":[37],"leaks":[39],"through":[40],"results.":[42,92],"The":[43,115],"preserving":[45,82],"ensures":[47],"unconditionally":[48],"safe":[49],"and":[54,101,146,162],"does":[55],"not":[56],"require":[57],"from":[58],"miner":[61],"expertise":[63],"privacy.":[65],"However,":[66],"as":[67,111,164],"we":[68],"show":[69],"paper,":[72],"naive":[74,166],"utilization":[75],"construct":[80],"algorithms":[85],"could":[86,138],"lead":[87],"inferior":[89],"address":[94],"this":[95,136],"by":[97,129],"considering":[98],"algorithmic":[103],"requirements":[104],"simultaneously,":[105],"focusing":[106],"decision":[108],"tree":[109],"induction":[110],"sample":[113],"application.":[114],"mechanism":[117],"has":[118],"profound":[120],"effect":[121],"performance":[124],"methods":[127],"chosen":[128],"miner.":[132],"demonstrate":[134],"choice":[137],"make":[139],"difference":[141],"between":[142],"an":[143,152,170],"accurate":[144],"classifier":[145],"completely":[148],"useless":[149],"one.":[150],"Moreover,":[151],"improved":[153],"algorithm":[154],"can":[155],"achieve":[156],"same":[158],"level":[159],"accuracy":[161],"implementation":[167],"but":[168],"order":[171],"magnitude":[173],"fewer":[174],"learning":[175],"samples.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":43},{"year":2020,"cited_by_count":47},{"year":2019,"cited_by_count":45},{"year":2018,"cited_by_count":42},{"year":2017,"cited_by_count":45},{"year":2016,"cited_by_count":35},{"year":2015,"cited_by_count":31},{"year":2014,"cited_by_count":28},{"year":2013,"cited_by_count":30},{"year":2012,"cited_by_count":27}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}