{"id":"https://openalex.org/W2513985882","doi":"https://doi.org/10.1109/tkde.2016.2601106","title":"Differentially Private Frequent Sequence Mining","display_name":"Differentially Private Frequent Sequence Mining","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2513985882","doi":"https://doi.org/10.1109/tkde.2016.2601106","mag":"2513985882","pmid":"https://pubmed.ncbi.nlm.nih.gov/37274928"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2016.2601106","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2016.2601106","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10237146/pdf/nihms-821741.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068927077","display_name":"Shengzhi Xu","orcid":"https://orcid.org/0000-0001-6984-1471"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shengzhi Xu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing China","Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062327704","display_name":"Xiang Cheng","orcid":"https://orcid.org/0000-0001-6556-2264"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Cheng","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing China","Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036865453","display_name":"Sen Su","orcid":"https://orcid.org/0000-0003-4266-7527"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sen Su","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing China","Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109055535","display_name":"Ke Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Xiao","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing China","Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078394535","display_name":"Li Xiong","orcid":"https://orcid.org/0000-0001-7354-0428"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li Xiong","raw_affiliation_strings":["Emory University, Atlanta, GA USA","Emory University, Atlanta, GA"],"affiliations":[{"raw_affiliation_string":"Emory University, Atlanta, GA USA","institution_ids":["https://openalex.org/I150468666"]},{"raw_affiliation_string":"Emory University, Atlanta, GA","institution_ids":["https://openalex.org/I150468666"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5068927077"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":4.8589,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":{"value":0.95501321,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"28","issue":"11","first_page":"2910","last_page":"2926"},"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9894000291824341,"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":0.9889000058174133,"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/differential-privacy","display_name":"Differential privacy","score":0.7981841564178467},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6577960848808289},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6142037510871887},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5857985019683838},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5564459562301636},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.515445351600647},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.48581886291503906},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.47947677969932556},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47695600986480713},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46856003999710083},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.43840456008911133},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3458600640296936},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2252749502658844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19869962334632874}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.7981841564178467},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6577960848808289},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6142037510871887},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5857985019683838},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5564459562301636},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.515445351600647},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.48581886291503906},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.47947677969932556},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47695600986480713},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46856003999710083},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.43840456008911133},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3458600640296936},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2252749502658844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19869962334632874},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tkde.2016.2601106","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2016.2601106","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmid:37274928","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37274928","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on knowledge and data engineering","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10237146","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10237146","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10237146/pdf/nihms-821741.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Knowl Data Eng","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:10237146","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10237146","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10237146/pdf/nihms-821741.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Knowl Data Eng","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1095105815","display_name":null,"funder_award_id":"#ME-1310-07058","funder_id":"https://openalex.org/F4320308927","funder_display_name":"Patient-Centered Outcomes Research Institute"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2696034309","display_name":null,"funder_award_id":"#R01GM114612","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3497591915","display_name":null,"funder_award_id":"(NIH)","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G3611247453","display_name":null,"funder_award_id":"R01GM","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4086264808","display_name":null,"funder_award_id":"R01GM114612","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G5120082985","display_name":null,"funder_award_id":"ME-1310-07058","funder_id":"https://openalex.org/F4320308927","funder_display_name":"Patient-Centered Outcomes Research Institute"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7536164850","display_name":null,"funder_award_id":"61502047","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320308927","display_name":"Patient-Centered Outcomes Research Institute","ror":"https://ror.org/014q65q44"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2513985882.pdf"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1484413656","https://openalex.org/W1597561788","https://openalex.org/W1606520508","https://openalex.org/W1641039719","https://openalex.org/W1673794779","https://openalex.org/W1873763122","https://openalex.org/W1966862198","https://openalex.org/W1973056687","https://openalex.org/W1989347828","https://openalex.org/W1993116423","https://openalex.org/W2015569667","https://openalex.org/W2019384076","https://openalex.org/W2064853889","https://openalex.org/W2090593019","https://openalex.org/W2091644709","https://openalex.org/W2093281079","https://openalex.org/W2104731482","https://openalex.org/W2108215372","https://openalex.org/W2123820077","https://openalex.org/W2134167315","https://openalex.org/W2134479759","https://openalex.org/W2159024459","https://openalex.org/W2164778205","https://openalex.org/W2426432085","https://openalex.org/W2911978475","https://openalex.org/W4252403066","https://openalex.org/W6628750762","https://openalex.org/W6635637936","https://openalex.org/W6758947373"],"related_works":["https://openalex.org/W3038283795","https://openalex.org/W2604501336","https://openalex.org/W2734500670","https://openalex.org/W2558166297","https://openalex.org/W2315671126","https://openalex.org/W798507144","https://openalex.org/W2964481303","https://openalex.org/W1751413323","https://openalex.org/W2571704763","https://openalex.org/W3206394311"],"abstract_inverted_index":{"In":[0,137,160],"this":[1,82],"paper,":[2],"we":[3,64,91,162,268],"study":[4],"the":[5,12,19,50,58,72,102,107,112,127,141,150,156,164,172,185,200,204,210,227,230,241,257,261],"problem":[6],"of":[7,21,42,52,60,114,134,168,187,212,229,243],"mining":[8,28,128],"frequent":[9,26,135,245,290],"sequences":[10,152,170,179,246,291],"under":[11],"rigorous":[13],"differential":[14,115,216],"privacy":[15,75,266],"model.":[16],"We":[17,44],"explore":[18],"possibility":[20],"designing":[22],"a":[23,39,86,94,131,191,218,249],"differentially":[24,47,96],"private":[25,48,97,189],"sequence":[27,193],"(FSM)":[29],"algorithm":[30,104,273,286],"which":[31,177],"can":[32,77,122,287],"achieve":[33],"both":[34],"high":[35,40,293],"data":[36],"utility":[37,73],"and":[38,74],"degree":[41],"privacy.":[43,116],"found,":[45],"in":[46,111,120,171],"FSM,":[49],"amount":[51,211],"required":[53,214],"noise":[54,213],"is":[55,101,143,196,223,253,274],"proportionate":[56],"to":[57,125,130,144,148,175,198,208,225,239,255],"number":[59],"candidate":[61,70,88,151,169,178],"sequences.":[62,136],"If":[63],"could":[65],"effectively":[66],"prune":[67,149],"those":[68],"unpromising":[69],"sequences,":[71],"tradeoff":[76],"be":[78,123],"significantly":[79],"improved.":[80],"To":[81,183],"end,":[83],"by":[84,215],"leveraging":[85],"sampling-based":[87],"pruning":[89],"technique,":[90],"propose":[92],"<i>PFS</i><sup>2</sup>,":[93],"novel":[95],"FSM":[98,110,121],"algorithm.":[99],"It":[100],"first":[103],"that":[105,270,283],"supports":[106],"general":[108],"gap-constrained":[109],"context":[113],"The":[117],"gap":[118,236],"constraints":[119],"used":[124],"limit":[126],"results":[129],"controlled":[132],"set":[133],"our":[138,271,284],"<i>PFS</i><sup>2</sup>":[139,272,285],"algorithm,":[140],"core":[142],"utilize":[145],"sample":[146,173,205,262],"databases":[147,174],"generated":[153],"based":[154],"on":[155,203,279],"downward":[157],"closure":[158],"property.":[159],"particular,":[161],"use":[163],"noisy":[165],"local":[166,231],"support":[167,232],"estimate":[176],"are":[180],"potentially":[181],"frequent.":[182],"improve":[184],"accuracy":[186],"such":[188],"estimations,":[190],"gap-aware":[192,219],"shrinking":[194],"method":[195,222,252],"proposed":[197,224,254],"enforce":[199],"length":[201],"constraint":[202],"databases.":[206,263],"Moreover,":[207],"calibrate":[209],"privacy,":[217],"sensitivity":[220,228],"computation":[221],"obtain":[226],"computations":[233],"with":[234,292],"different":[235],"constraints.":[237],"Furthermore,":[238],"decrease":[240],"probability":[242],"misestimating":[244],"as":[247],"infrequent,":[248],"threshold":[250,259],"relaxation":[251],"relax":[256],"user-specified":[258],"for":[260],"Through":[264],"formal":[265],"analysis,":[267],"show":[269],"<i>\u03f5</i>-differentially":[275],"private.":[276],"Extensive":[277],"experiments":[278],"real":[280],"datasets":[281],"illustrate":[282],"privately":[288],"find":[289],"accuracy.":[294]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}