{"id":"https://openalex.org/W1996446882","doi":"https://doi.org/10.1109/allerton.2013.6736699","title":"Efficient probabilistic group testing based on traitor tracing","display_name":"Efficient probabilistic group testing based on traitor tracing","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W1996446882","doi":"https://doi.org/10.1109/allerton.2013.6736699","mag":"1996446882"},"language":"en","primary_location":{"id":"doi:10.1109/allerton.2013.6736699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/allerton.2013.6736699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 51st Annual Allerton Conference on Communication, Control, and Computing (Allerton)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1307.2438","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Thijs Laarhoven","orcid":null},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Thijs Laarhoven","raw_affiliation_strings":["Department of Mathematics and Computer Science, University of Technology, Eindhoven, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Technology, Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I83019370"],"apc_list":null,"apc_paid":null,"fwci":1.3882,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.79932975,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"18","issue":null,"first_page":"1458","last_page":"1465"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11754","display_name":"SARS-CoV-2 detection and testing","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11754","display_name":"SARS-CoV-2 detection and testing","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"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/T11393","display_name":"Biosensors and Analytical Detection","score":0.9538999795913696,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10207","display_name":"Advanced biosensing and bioanalysis techniques","score":0.9501000046730042,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/group-testing","display_name":"Group testing","score":0.9487000107765198},{"id":"https://openalex.org/keywords/traitor-tracing","display_name":"Traitor tracing","score":0.8460999727249146},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7166000008583069},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.5766000151634216},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5658000111579895},{"id":"https://openalex.org/keywords/group-tests","display_name":"Group tests","score":0.539900004863739}],"concepts":[{"id":"https://openalex.org/C177580056","wikidata":"https://www.wikidata.org/wiki/Q5611272","display_name":"Group testing","level":2,"score":0.9487000107765198},{"id":"https://openalex.org/C2781411299","wikidata":"https://www.wikidata.org/wiki/Q7833043","display_name":"Traitor tracing","level":4,"score":0.8460999727249146},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7166000008583069},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.5766000151634216},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5658000111579895},{"id":"https://openalex.org/C88484641","wikidata":"https://www.wikidata.org/wiki/Q5611273","display_name":"Group tests","level":3,"score":0.539900004863739},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4869000017642975},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48570001125335693},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4438999891281128},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3930000066757202},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3752000033855438},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.3736000061035156},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.3091000020503998},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.28760001063346863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.262800008058548},{"id":"https://openalex.org/C60782215","wikidata":"https://www.wikidata.org/wiki/Q3333679","display_name":"Probabilistic method","level":3,"score":0.257999986410141}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/allerton.2013.6736699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/allerton.2013.6736699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 51st Annual Allerton Conference on Communication, Control, and Computing (Allerton)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/2d95f94d-bb1f-4f92-8fee-a2b0030e7f8f","is_oa":false,"landing_page_url":"https://research.tue.nl/en/publications/2d95f94d-bb1f-4f92-8fee-a2b0030e7f8f","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Laarhoven, T 2013, Efficient probabilistic group testing based on traitor tracing. in 51st Annual Allerton Conference on Communication, Control, and Computing (Monticello IL, USA, October 2-3, 2013). Institute of Electrical and Electronics Engineers, Piscataway, pp. 1458-1465. https://doi.org/10.1109/Allerton.2013.6736699","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:arXiv.org:1307.2438","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1307.2438","pdf_url":"https://arxiv.org/pdf/1307.2438","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:tue:oai:pure.tue.nl:publications/2d95f94d-bb1f-4f92-8fee-a2b0030e7f8f","is_oa":false,"landing_page_url":"https://research.tue.nl/nl/publications/2d95f94d-bb1f-4f92-8fee-a2b0030e7f8f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"51st Annual Allerton Conference on Communication, Control, and Computing (Monticello IL, USA, October 2-3, 2013), 1458 - 1465","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1307.2438","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1307.2438","pdf_url":"https://arxiv.org/pdf/1307.2438","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W286861583","https://openalex.org/W1975680434","https://openalex.org/W1977832049","https://openalex.org/W1981136234","https://openalex.org/W1991439166","https://openalex.org/W1997617917","https://openalex.org/W2019964557","https://openalex.org/W2022807085","https://openalex.org/W2039632567","https://openalex.org/W2057182007","https://openalex.org/W2067389921","https://openalex.org/W2068033507","https://openalex.org/W2083594366","https://openalex.org/W2087879325","https://openalex.org/W2101627389","https://openalex.org/W2115211055","https://openalex.org/W2124036594","https://openalex.org/W2134195444","https://openalex.org/W2152572810","https://openalex.org/W2154572525","https://openalex.org/W2157687354","https://openalex.org/W2159716457","https://openalex.org/W2171949331","https://openalex.org/W2949732801","https://openalex.org/W4230834613","https://openalex.org/W6647153551","https://openalex.org/W6681481313","https://openalex.org/W6735606371"],"related_works":[],"abstract_inverted_index":{"Inspired":[0],"by":[1],"recent":[2],"results":[3],"from":[4],"collusion-resistant":[5],"traitor":[6],"tracing,":[7],"we":[8,74],"provide":[9],"a":[10],"framework":[11,51,78],"for":[12],"constructing":[13],"efficient":[14],"probabilistic":[15],"group":[16,22,58,62],"testing":[17,23,59,63],"schemes.":[18],"In":[19],"the":[20,40,86],"traditional":[21],"model,":[24],"our":[25],"scheme":[26],"asymptotically":[27],"requires":[28],"T":[29],"~":[30],"2K":[31],"ln":[32],"N":[33,48],"tests":[34],"to":[35,55,67,82],"find":[36],"(with":[37],"high":[38],"probability)":[39],"correct":[41],"set":[42],"of":[43,47,85],"K":[44],"defectives":[45],"out":[46],"items.":[49],"The":[50],"is":[52],"also":[53],"applied":[54,81],"several":[56],"noisy":[57],"and":[60,94],"threshold":[61],"models,":[64],"often":[65],"leading":[66],"improvements":[68],"over":[69],"previously":[70],"known":[71],"results,":[72],"but":[73],"emphasize":[75],"that":[76],"this":[77],"can":[79],"be":[80],"other":[83],"variants":[84],"classical":[87],"model":[88],"as":[89],"well,":[90],"both":[91],"in":[92,95],"adaptive":[93],"non-adaptive":[96],"settings.":[97]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2016-06-24T00:00:00"}
