{"id":"https://openalex.org/W1503015977","doi":"https://doi.org/10.1007/978-3-642-13739-6_3","title":"Understanding Privacy Risk of Publishing Decision Trees","display_name":"Understanding Privacy Risk of Publishing Decision Trees","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W1503015977","doi":"https://doi.org/10.1007/978-3-642-13739-6_3","mag":"1503015977"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-13739-6_3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-642-13739-6_3","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-642-13739-6_3.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-642-13739-6_3.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050820550","display_name":"Zutao Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zutao Zhu","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, USA","Department of Electrical Engineering and Computer Science Syracuse University Syracuse NY"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, USA","institution_ids":["https://openalex.org/I70983195"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science Syracuse University Syracuse NY","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047825382","display_name":"Wenliang Du","orcid":"https://orcid.org/0000-0002-9234-0912"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenliang Du","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, USA","Department of Electrical Engineering and Computer Science Syracuse University Syracuse NY"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, USA","institution_ids":["https://openalex.org/I70983195"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science Syracuse University Syracuse NY","institution_ids":["https://openalex.org/I70983195"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5050820550"],"corresponding_institution_ids":["https://openalex.org/I70983195"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.2832,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.53181714,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"48"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9853000044822693,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9789999723434448,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"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":0.7877139449119568},{"id":"https://openalex.org/keywords/publishing","display_name":"Publishing","score":0.7336408495903015},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.7006468176841736},{"id":"https://openalex.org/keywords/data-publishing","display_name":"Data publishing","score":0.6299884915351868},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5972707271575928},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.45699140429496765},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3499528765678406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2529280483722687}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7877139449119568},{"id":"https://openalex.org/C151719136","wikidata":"https://www.wikidata.org/wiki/Q3972943","display_name":"Publishing","level":2,"score":0.7336408495903015},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.7006468176841736},{"id":"https://openalex.org/C2781396290","wikidata":"https://www.wikidata.org/wiki/Q17051824","display_name":"Data publishing","level":3,"score":0.6299884915351868},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5972707271575928},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.45699140429496765},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3499528765678406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2529280483722687},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-642-13739-6_3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-642-13739-6_3","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-642-13739-6_3.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:HAL:hal-01056670v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01056670","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"24th Annual IFIP WG 11.3 Working Conference on Data and Applications Security and Privacy (DBSEC), Jun 2010, Rome, Italy. pp.33-48, &#x27E8;10.1007/978-3-642-13739-6_3&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"doi:10.1007/978-3-642-13739-6_3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-642-13739-6_3","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-642-13739-6_3.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6200000047683716}],"awards":[{"id":"https://openalex.org/G1252275869","display_name":"SEED: Developing Instructional Laboratories for Computer Security Education","funder_award_id":"0618680","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","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/W1503015977.pdf","grobid_xml":"https://content.openalex.org/works/W1503015977.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W56293434","https://openalex.org/W180478659","https://openalex.org/W562107606","https://openalex.org/W1497862515","https://openalex.org/W1504694836","https://openalex.org/W1594031697","https://openalex.org/W1964835534","https://openalex.org/W1979005794","https://openalex.org/W2009331946","https://openalex.org/W2032558547","https://openalex.org/W2078937669","https://openalex.org/W2099907571","https://openalex.org/W2107927452","https://openalex.org/W2119067110","https://openalex.org/W2125055259","https://openalex.org/W2128906841","https://openalex.org/W2132678785","https://openalex.org/W2134167315","https://openalex.org/W2134479759","https://openalex.org/W2136114025","https://openalex.org/W2140096141","https://openalex.org/W2141625084","https://openalex.org/W2149706766","https://openalex.org/W2152131375","https://openalex.org/W2154259588","https://openalex.org/W2157242025","https://openalex.org/W2159024459","https://openalex.org/W2161030490","https://openalex.org/W2161067131","https://openalex.org/W2161229593","https://openalex.org/W2679684481","https://openalex.org/W4236137412","https://openalex.org/W4248358572"],"related_works":["https://openalex.org/W2294677930","https://openalex.org/W2801905285","https://openalex.org/W2028846973","https://openalex.org/W2698935035","https://openalex.org/W2756635080","https://openalex.org/W249766449","https://openalex.org/W1504443673","https://openalex.org/W2230419033","https://openalex.org/W3041490575","https://openalex.org/W2970690932"],"abstract_inverted_index":{"Publishing":[0],"decision":[1,17,38,68,79],"trees":[2,18,69,80],"can":[3,19],"provide":[4],"enormous":[5],"benefits":[6],"to":[7,24,46,63,93,104,111],"the":[8,33,52,75,113],"society.":[9],"Meanwhile,":[10],"it":[11],"is":[12,28],"widely":[13],"believed":[14],"that":[15],"publishing":[16,37],"pose":[20],"a":[21,60],"potential":[22],"risk":[23],"privacy.":[25,106],"However,":[26],"there":[27],"not":[29],"much":[30],"investigation":[31],"on":[32,51],"privacy":[34,49,65],"consequence":[35],"of":[36,117],"trees.":[39],"To":[40],"understand":[41],"this":[42],"problem,":[43],"we":[44,57],"need":[45],"quantitatively":[47],"measure":[48],"risk.Based":[50],"well-established":[53],"maximum":[54,95],"entropy":[55,96],"theory,":[56],"have":[58,108],"developed":[59],"systematic":[61],"method":[62,73],"quantify":[64,105],"risks":[66],"when":[67],"are":[70,101],"published.":[71],"Our":[72],"converts":[74],"knowledge":[76],"embedded":[77],"in":[78],"into":[81],"equations":[82],"and":[83,87,115],"inequalities":[84],"(called":[85],"constraints),":[86],"then":[88,102],"uses":[89],"nonlinear":[90],"programming":[91],"tool":[92],"conduct":[94],"estimate.":[97],"The":[98],"estimate":[99],"results":[100],"used":[103],"We":[107],"conducted":[109],"experiments":[110],"evaluate":[112],"effectiveness":[114],"performance":[116],"our":[118],"method.":[119]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-03-22T08:09:32.410652","created_date":"2025-10-10T00:00:00"}
