{"id":"https://openalex.org/W4386075218","doi":"https://doi.org/10.1109/isit54713.2023.10206942","title":"Differentially Private Detection of Sparse Gaussian Mixtures","display_name":"Differentially Private Detection of Sparse Gaussian Mixtures","publication_year":2023,"publication_date":"2023-06-25","ids":{"openalex":"https://openalex.org/W4386075218","doi":"https://doi.org/10.1109/isit54713.2023.10206942"},"language":"en","primary_location":{"id":"doi:10.1109/isit54713.2023.10206942","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isit54713.2023.10206942","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-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/A5101944948","display_name":"Ruizhi Zhang","orcid":"https://orcid.org/0000-0002-1317-0063"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ruizhi Zhang","raw_affiliation_strings":["University of Georgia,Department of Statistics,Athens,GA,USA","Department of Statistics, University of Georgia, Athens, GA, USA"],"affiliations":[{"raw_affiliation_string":"University of Georgia,Department of Statistics,Athens,GA,USA","institution_ids":["https://openalex.org/I165733156"]},{"raw_affiliation_string":"Department of Statistics, University of Georgia, Athens, GA, USA","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041551885","display_name":"Shanshan Cao","orcid":"https://orcid.org/0000-0001-7280-1657"},"institutions":[{"id":"https://openalex.org/I168537998","display_name":"Eli Lilly (United States)","ror":"https://ror.org/01qat3289","country_code":"US","type":"company","lineage":["https://openalex.org/I168537998"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shanshan Cao","raw_affiliation_strings":["Eli Lilly and Company,Indianapolis,IN,USA","Eli Lilly and Company, Indianapolis, IN, USA"],"affiliations":[{"raw_affiliation_string":"Eli Lilly and Company,Indianapolis,IN,USA","institution_ids":["https://openalex.org/I168537998"]},{"raw_affiliation_string":"Eli Lilly and Company, Indianapolis, IN, USA","institution_ids":["https://openalex.org/I168537998"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101944948"],"corresponding_institution_ids":["https://openalex.org/I165733156"],"apc_list":null,"apc_paid":null,"fwci":0.1744,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56092394,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2637","last_page":"2642"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9959999918937683,"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":0.9959999918937683,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/gaussian","display_name":"Gaussian","score":0.6569591760635376},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5844221711158752},{"id":"https://openalex.org/keywords/likelihood-ratio-test","display_name":"Likelihood-ratio test","score":0.541476309299469},{"id":"https://openalex.org/keywords/private-information-retrieval","display_name":"Private information retrieval","score":0.5183199644088745},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48236340284347534},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.4813164472579956},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4390503466129303},{"id":"https://openalex.org/keywords/statistical-power","display_name":"Statistical power","score":0.414226233959198},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32866770029067993},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2507267892360687},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20513784885406494},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10745871067047119},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09647408127784729}],"concepts":[{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6569591760635376},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5844221711158752},{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.541476309299469},{"id":"https://openalex.org/C99221444","wikidata":"https://www.wikidata.org/wiki/Q1532069","display_name":"Private information retrieval","level":2,"score":0.5183199644088745},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48236340284347534},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.4813164472579956},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4390503466129303},{"id":"https://openalex.org/C96608239","wikidata":"https://www.wikidata.org/wiki/Q1199823","display_name":"Statistical power","level":2,"score":0.414226233959198},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32866770029067993},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2507267892360687},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20513784885406494},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10745871067047119},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09647408127784729},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit54713.2023.10206942","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isit54713.2023.10206942","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1502103205","https://openalex.org/W1873763122","https://openalex.org/W1971265470","https://openalex.org/W1974169660","https://openalex.org/W1981106668","https://openalex.org/W2028072731","https://openalex.org/W2064921494","https://openalex.org/W2084512860","https://openalex.org/W2119721623","https://openalex.org/W2219660543","https://openalex.org/W2264055723","https://openalex.org/W2606014625","https://openalex.org/W2913161308","https://openalex.org/W2962878955","https://openalex.org/W2973098220","https://openalex.org/W2990553645","https://openalex.org/W2993782690","https://openalex.org/W3105199140","https://openalex.org/W3198240635","https://openalex.org/W3211357969","https://openalex.org/W6639246211","https://openalex.org/W6736643764","https://openalex.org/W6753415013","https://openalex.org/W6758776726"],"related_works":["https://openalex.org/W2012531322","https://openalex.org/W2402761219","https://openalex.org/W2785900585","https://openalex.org/W2353730437","https://openalex.org/W2490303674","https://openalex.org/W2609066826","https://openalex.org/W2810752900","https://openalex.org/W2365677836","https://openalex.org/W2531295127","https://openalex.org/W2793053744"],"abstract_inverted_index":{"Detection":[0],"of":[1,21,48,52,140],"sparse":[2,54],"signals":[3],"arises":[4],"in":[5,19,82,112],"many":[6,20],"modern":[7],"applications":[8],"such":[9],"as":[10],"signal":[11],"processing,":[12],"bioinformatics,":[13],"finance,":[14],"and":[15,75,90,92,136],"disease":[16],"surveillance.":[17],"However,":[18],"these":[22],"applications,":[23],"the":[24,38,46,53,58,64,70,83,113,138],"data":[25,39],"may":[26],"contain":[27],"sensitive":[28],"personal":[29],"information,":[30],"which":[31,107],"is":[32],"desirable":[33],"to":[34,131],"be":[35],"protected":[36],"during":[37],"analysis.":[40],"In":[41],"this":[42],"article,":[43],"we":[44,100],"consider":[45],"problem":[47],"\u03f5-differentially":[49,104],"private":[50,71,105],"detection":[51,65],"Gaussian":[55],"mixtures":[56],"with":[57],"focus":[59],"on":[60],"how":[61],"privacy":[62],"affects":[63],"power.":[66],"We":[67],"first":[68],"study":[69],"likelihood":[72],"ratio":[73],"test":[74],"show":[76],"it":[77],"achieves":[78,108],"vanishing":[79,109],"error":[80,110],"probabilities":[81,111],"detectable":[84,115],"region":[85,116],"proposed":[86,142],"by":[87],"Ingster":[88],"[1]":[89],"Donoho":[91],"Jin":[93],"[2]":[94],"when":[95,117],"\u03f5":[96],">":[97],"n<sup>--\u03b2</sup>.":[98],"Moreover,":[99],"propose":[101],"an":[102],"adaptive":[103],"test,":[106],"same":[114],"$\\sqrt":[118],"{\\log":[119],"(\\log":[120],"n)}":[121],"\\varepsilon":[122],"\\to":[123],"\\infty":[124],"$.":[125],"Several":[126],"numerical":[127],"experiments":[128],"are":[129],"conducted":[130],"verify":[132],"our":[133,141],"theoretical":[134],"results":[135],"illustrate":[137],"performance":[139],"test.":[143]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
