{"id":"https://openalex.org/W2289484828","doi":"https://doi.org/10.1145/2700407","title":"Information Measures in Statistical Privacy and Data Processing Applications","display_name":"Information Measures in Statistical Privacy and Data Processing Applications","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W2289484828","doi":"https://doi.org/10.1145/2700407","mag":"2289484828"},"language":"en","primary_location":{"id":"doi:10.1145/2700407","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2700407","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"type":"article","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/A5005072450","display_name":"Bing-Rong Lin","orcid":"https://orcid.org/0009-0000-2098-3831"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bing-Rong Lin","raw_affiliation_strings":["Penn State University, PA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Penn State University, PA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005431144","display_name":"Daniel Kifer","orcid":"https://orcid.org/0000-0002-4611-7066"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Kifer","raw_affiliation_strings":["Penn State University, PA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Penn State University, PA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":3.0557,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.92953886,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"9","issue":"4","first_page":"1","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9866999983787537,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9840999841690063,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6891610026359558},{"id":"https://openalex.org/keywords/axiom","display_name":"Axiom","score":0.5774492621421814},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.5667335987091064},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5349817276000977},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5029541850090027},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3276326060295105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3082892894744873},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21563240885734558},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.08535009622573853}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6891610026359558},{"id":"https://openalex.org/C167729594","wikidata":"https://www.wikidata.org/wiki/Q17736","display_name":"Axiom","level":2,"score":0.5774492621421814},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.5667335987091064},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5349817276000977},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5029541850090027},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3276326060295105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3082892894744873},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21563240885734558},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.08535009622573853},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2700407","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2700407","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6499999761581421,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W182286721","https://openalex.org/W187651740","https://openalex.org/W256798830","https://openalex.org/W1484817741","https://openalex.org/W1491523329","https://openalex.org/W1506806321","https://openalex.org/W1580324013","https://openalex.org/W1593215673","https://openalex.org/W1649611255","https://openalex.org/W1873763122","https://openalex.org/W1985077192","https://openalex.org/W1987983106","https://openalex.org/W1988828057","https://openalex.org/W1993116423","https://openalex.org/W2010523825","https://openalex.org/W2023990874","https://openalex.org/W2041713933","https://openalex.org/W2045656233","https://openalex.org/W2049269278","https://openalex.org/W2049599124","https://openalex.org/W2052747341","https://openalex.org/W2054973636","https://openalex.org/W2055411402","https://openalex.org/W2057576485","https://openalex.org/W2059271100","https://openalex.org/W2078937669","https://openalex.org/W2087643385","https://openalex.org/W2099111195","https://openalex.org/W2099259603","https://openalex.org/W2102031554","https://openalex.org/W2104452301","https://openalex.org/W2106882672","https://openalex.org/W2107927452","https://openalex.org/W2110868467","https://openalex.org/W2115209166","https://openalex.org/W2120582309","https://openalex.org/W2123733729","https://openalex.org/W2124612670","https://openalex.org/W2129681831","https://openalex.org/W2140096141","https://openalex.org/W2141902405","https://openalex.org/W2144846366","https://openalex.org/W2148130403","https://openalex.org/W2154086287","https://openalex.org/W2157497706","https://openalex.org/W2166658587","https://openalex.org/W2169570643","https://openalex.org/W2796971335","https://openalex.org/W3098825397","https://openalex.org/W3101069194","https://openalex.org/W3101160956","https://openalex.org/W4210542476","https://openalex.org/W4232383088","https://openalex.org/W4253511849","https://openalex.org/W4302797894"],"related_works":["https://openalex.org/W4389670110","https://openalex.org/W2187546663","https://openalex.org/W2429057255","https://openalex.org/W148745890","https://openalex.org/W2611942503","https://openalex.org/W2899790217","https://openalex.org/W1576092969","https://openalex.org/W4315621326","https://openalex.org/W2598865957","https://openalex.org/W2524154428"],"abstract_inverted_index":{"In":[0,170],"statistical":[1,12,34],"privacy,":[2],"utility":[3,97,108,141],"refers":[4],"to":[5,32,61,78,153,177,211,223],"two":[6,103],"concepts:":[7],"information":[8,13,31,47,66,175,182],"preservation,":[9,67],"how":[10,22,25,112],"much":[11,26],"is":[14],"retained":[15],"by":[16],"a":[17,44,58,63,100,185,196,205],"sanitizing":[18,59,186],"algorithm,":[19],"and":[20,38,49,88,105,110,160],"usability,":[21,50],"(and":[23],"with":[24,99],"difficulty)":[27],"one":[28],"extracts":[29],"this":[30,172,221],"build":[33],"models,":[35],"answer":[36],"queries,":[37],"so":[39,51],"forth.":[40],"Some":[41],"scenarios":[42],"incentivize":[43],"separation":[45],"between":[46],"preservation":[48,176,183],"that":[52,122,143],"the":[53,70,74,93,123,129,137,147,181,192,213,224,227],"data":[54,71],"owner":[55],"first":[56],"chooses":[57],"algorithm":[60,187,235],"maximize":[62],"measure":[64],"of":[65,96,102,114,128,132,140,146,179,184,195],"and,":[68],"afterward,":[69],"consumers":[72],"process":[73],"sanitized":[75,214],"output":[76],"according":[77],"their":[79],"various":[80,217],"individual":[81],"needs":[82],"[Ghosh":[83],"et":[84],"al.":[85],"2009;":[86],"Williams":[87],"McSherry":[89],"2010].":[90],"We":[91,120,219],"analyze":[92],"information-preserving":[94],"properties":[95],"measures":[98,142],"combination":[101],"new":[104],"three":[106],"existing":[107],"axioms":[109,150],"study":[111],"violations":[113],"an":[115],"axiom":[116],"can":[117],"be":[118,189,204],"fixed.":[119],"show":[121],"average":[124,193],"(over":[125],"possible":[126],"outputs":[127,215],"sanitizer)":[130],"error":[131,194],"Bayesian":[133,154,165,197,201],"decision":[134,198,202],"makers":[135],"forms":[136],"unique":[138],"class":[139],"satisfy":[144],"all":[145],"axioms.":[148],"The":[149],"are":[151],"agnostic":[152],"concepts":[155],"such":[156],"as":[157,191],"subjective":[158],"probabilities":[159],"hence":[161],"strengthen":[162],"support":[163],"for":[164,216],"views":[166],"in":[167,226],"privacy":[168],"research.":[169],"particular,":[171],"result":[173],"connects":[174],"aspects":[178],"usability\u2014if":[180],"should":[188],"measured":[190],"maker,":[199],"shouldn\u2019t":[200],"theory":[203],"good":[206],"choice":[207],"when":[208],"it":[209],"comes":[210],"using":[212],"purposes?":[218],"put":[220],"idea":[222],"test":[225],"unattributed":[228],"histogram":[229],"problem":[230],"where":[231],"our":[232],"decision-theoretic":[233],"postprocessing":[234],"empirically":[236],"outperforms":[237],"previously":[238],"proposed":[239],"approaches.":[240]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
