{"id":"https://openalex.org/W3014363627","doi":"https://doi.org/10.2478/popets-2021-0077","title":"Differentially Private Na\u00efve Bayes Classifier Using Smooth Sensitivity","display_name":"Differentially Private Na\u00efve Bayes Classifier Using Smooth Sensitivity","publication_year":2021,"publication_date":"2021-07-23","ids":{"openalex":"https://openalex.org/W3014363627","doi":"https://doi.org/10.2478/popets-2021-0077","mag":"3014363627"},"language":"en","primary_location":{"id":"doi:10.2478/popets-2021-0077","is_oa":true,"landing_page_url":"https://doi.org/10.2478/popets-2021-0077","pdf_url":"https://petsymposium.org/popets/2021/popets-2021-0077.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":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://petsymposium.org/popets/2021/popets-2021-0077.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067459009","display_name":"Farzad Zafarani","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Farzad Zafarani","raw_affiliation_strings":["Department of Computer Science , Purdue University , USA ","PURDUE UNIVERSITY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science , Purdue University , USA ","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"PURDUE UNIVERSITY","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080294173","display_name":"Chris Clifton","orcid":"https://orcid.org/0000-0001-7274-1471"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chris Clifton","raw_affiliation_strings":["Department of Computer Science , Purdue University , USA ","PURDUE UNIVERSITY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science , Purdue University , USA ","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"PURDUE UNIVERSITY","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":0.1335,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53559826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"2021","issue":"4","first_page":"406","last_page":"419"},"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":0.9855999946594238,"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":0.9837999939918518,"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/differential-privacy","display_name":"Differential privacy","score":0.8883843421936035},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.8706058859825134},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.6817559003829956},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6015483140945435},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5948454737663269},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5866791605949402},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5553919076919556},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.47940799593925476},{"id":"https://openalex.org/keywords/bayes-classifier","display_name":"Bayes classifier","score":0.4258453845977783},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39164790511131287},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2585679888725281},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.1814771592617035},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11755329370498657}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.8883843421936035},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.8706058859825134},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.6817559003829956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6015483140945435},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5948454737663269},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5866791605949402},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5553919076919556},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.47940799593925476},{"id":"https://openalex.org/C185207860","wikidata":"https://www.wikidata.org/wiki/Q17004744","display_name":"Bayes classifier","level":4,"score":0.4258453845977783},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39164790511131287},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2585679888725281},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.1814771592617035},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11755329370498657},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.2478/popets-2021-0077","is_oa":true,"landing_page_url":"https://doi.org/10.2478/popets-2021-0077","pdf_url":"https://petsymposium.org/popets/2021/popets-2021-0077.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:arXiv.org:2003.13955","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.13955","pdf_url":"https://arxiv.org/pdf/2003.13955","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"raw_type":"text"},{"id":"mag:3014363627","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2003.13955","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2003.13955","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2003.13955","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"}],"best_oa_location":{"id":"doi:10.2478/popets-2021-0077","is_oa":true,"landing_page_url":"https://doi.org/10.2478/popets-2021-0077","pdf_url":"https://petsymposium.org/popets/2021/popets-2021-0077.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":[{"id":"https://metadata.un.org/sdg/16","score":0.5299999713897705,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3014363627.pdf","grobid_xml":"https://content.openalex.org/works/W3014363627.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W199752024","https://openalex.org/W1873763122","https://openalex.org/W1991669689","https://openalex.org/W1993116423","https://openalex.org/W1997011019","https://openalex.org/W2001238748","https://openalex.org/W2022097286","https://openalex.org/W2096633407","https://openalex.org/W2101771965","https://openalex.org/W2112380340","https://openalex.org/W2123820077","https://openalex.org/W2138865266","https://openalex.org/W2473418344","https://openalex.org/W2510529953","https://openalex.org/W2602562802","https://openalex.org/W2792294582","https://openalex.org/W2794222060","https://openalex.org/W2942731499","https://openalex.org/W2948712909","https://openalex.org/W2963340246","https://openalex.org/W2970898055","https://openalex.org/W3120740533"],"related_works":["https://openalex.org/W3184057774","https://openalex.org/W2185091225","https://openalex.org/W2996145745","https://openalex.org/W83434975","https://openalex.org/W199752024","https://openalex.org/W2294572603","https://openalex.org/W1493451373","https://openalex.org/W2171665309","https://openalex.org/W2019439081","https://openalex.org/W179179905","https://openalex.org/W2982753995","https://openalex.org/W1584704873","https://openalex.org/W2126122936","https://openalex.org/W2086147528","https://openalex.org/W3157889069","https://openalex.org/W2402154012","https://openalex.org/W1987683558","https://openalex.org/W2996283780","https://openalex.org/W3043906424","https://openalex.org/W1627824512"],"abstract_inverted_index":{"Abstract":[0],"There":[1],"is":[2,24,33],"increasing":[3],"awareness":[4],"of":[5,28,66,87],"the":[6,13,63,84,88],"need":[7],"to":[8,17,62,73,83],"protect":[9],"individual":[10],"privacy":[11],"in":[12],"training":[14],"data":[15],"used":[16,39],"develop":[18],"machine":[19,36],"learning":[20,37],"models.":[21],"Differential":[22],"Privacy":[23],"a":[25,34,41,52],"strong":[26],"concept":[27],"protecting":[29],"individuals.":[30],"Na\u00efve":[31,55],"Bayes":[32,56],"popular":[35],"algorithm,":[38],"as":[40],"baseline":[42],"for":[43],"many":[44],"tasks.":[45],"In":[46],"this":[47],"work,":[48],"we":[49],"have":[50],"provided":[51],"differentially":[53],"private":[54],"classifier":[57],"that":[58,97],"adds":[59],"noise":[60,82],"proportional":[61],"smooth":[64,98],"sensitivity":[65,86,99],"its":[67],"parameters.":[68,89],"We":[69],"compare":[70],"our":[71],"results":[72,92],"Vaidya,":[74],"Shafiq,":[75],"Basu,":[76],"and":[77],"Hong":[78],"[1]":[79],"which":[80],"scales":[81],"global":[85],"Our":[90],"experimental":[91],"on":[93],"real-world":[94],"datasets":[95],"show":[96],"significantly":[100],"improves":[101],"accuracy":[102],"while":[103],"still":[104],"guaranteeing":[105],"\u025b":[106],"-differential":[107],"privacy.":[108]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}