{"id":"https://openalex.org/W2138865266","doi":"https://doi.org/10.1145/1536414.1536466","title":"Differential privacy and robust statistics","display_name":"Differential privacy and robust statistics","publication_year":2009,"publication_date":"2009-05-31","ids":{"openalex":"https://openalex.org/W2138865266","doi":"https://doi.org/10.1145/1536414.1536466","mag":"2138865266"},"language":"en","primary_location":{"id":"doi:10.1145/1536414.1536466","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1536414.1536466","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the forty-first annual ACM symposium on Theory of computing","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/A5011820318","display_name":"Cynthia Dwork","orcid":"https://orcid.org/0000-0001-7177-3738"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cynthia Dwork","raw_affiliation_strings":["Microsoft Research, Mountain View, CA, USA","Microsoft Research, Mountain View, CA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft Research, Mountain View, CA, USA#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085887576","display_name":"Jing Lei","orcid":"https://orcid.org/0000-0003-3104-9387"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Lei","raw_affiliation_strings":["University of California, Berkeley, Berkeley, CA, USA","University of California, Berkeley, Berkeley, CA USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"University of California, Berkeley, Berkeley, CA USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":637,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"371","last_page":"380"},"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":0.9979000091552734,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/differential-privacy","display_name":"Differential privacy","score":0.958179235458374},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.8051548004150391},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6778268814086914},{"id":"https://openalex.org/keywords/robust-statistics","display_name":"Robust statistics","score":0.5633078217506409},{"id":"https://openalex.org/keywords/differential","display_name":"Differential (mechanical device)","score":0.487444669008255},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.44458362460136414},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.40394270420074463},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.307875394821167},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.30317890644073486},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.289694607257843},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09020158648490906}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.958179235458374},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8051548004150391},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6778268814086914},{"id":"https://openalex.org/C67226441","wikidata":"https://www.wikidata.org/wiki/Q1665389","display_name":"Robust statistics","level":3,"score":0.5633078217506409},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.487444669008255},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.44458362460136414},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40394270420074463},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.307875394821167},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30317890644073486},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.289694607257843},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09020158648490906},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1536414.1536466","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1536414.1536466","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the forty-first annual ACM symposium on Theory of computing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.699.9204","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.699.9204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.stat.cmu.edu/%7Ejinglei/dprs_stoc09.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W44899178","https://openalex.org/W182881619","https://openalex.org/W1509803206","https://openalex.org/W1557833142","https://openalex.org/W1578588790","https://openalex.org/W1873763122","https://openalex.org/W1993116423","https://openalex.org/W2010029425","https://openalex.org/W2010523825","https://openalex.org/W2012712694","https://openalex.org/W2048092465","https://openalex.org/W2084840427","https://openalex.org/W2087169014","https://openalex.org/W2097272254","https://openalex.org/W2101771965","https://openalex.org/W2123733729","https://openalex.org/W2159851984","https://openalex.org/W2169570643","https://openalex.org/W2489822048","https://openalex.org/W2911978475","https://openalex.org/W4292025355","https://openalex.org/W7052421801"],"related_works":["https://openalex.org/W4297516826","https://openalex.org/W2949417504","https://openalex.org/W4210897550","https://openalex.org/W2990553645","https://openalex.org/W2138865266","https://openalex.org/W2993782690","https://openalex.org/W4288020080","https://openalex.org/W255010792","https://openalex.org/W2013160890","https://openalex.org/W4287594409"],"abstract_inverted_index":{"We":[0],"show":[1],"by":[2],"means":[3],"of":[4],"several":[5],"examples":[6],"that":[7],"robust":[8],"statistical":[9],"estimators":[10],"present":[11],"an":[12],"excellent":[13],"starting":[14],"point":[15],"for":[16,26,36],"differentially":[17,27],"private":[18,28],"estimators.":[19],"Our":[20],"algorithms":[21],"use":[22],"a":[23,40],"new":[24],"paradigm":[25],"mechanisms,":[29],"which":[30,37],"we":[31,38],"call":[32],"Propose-Test-Release":[33],"(PTR),":[34],"and":[35,43],"give":[39],"formal":[41],"definition":[42],"general":[44],"composition":[45],"theorems.":[46]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":39},{"year":2024,"cited_by_count":46},{"year":2023,"cited_by_count":52},{"year":2022,"cited_by_count":44},{"year":2021,"cited_by_count":71},{"year":2020,"cited_by_count":64},{"year":2019,"cited_by_count":76},{"year":2018,"cited_by_count":33},{"year":2017,"cited_by_count":31},{"year":2016,"cited_by_count":26},{"year":2015,"cited_by_count":27},{"year":2014,"cited_by_count":23},{"year":2013,"cited_by_count":32},{"year":2012,"cited_by_count":20}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
