{"id":"https://openalex.org/W4386072141","doi":"https://doi.org/10.1109/isit54713.2023.10206736","title":"Hypothesis Testing for Adversarial Channels: Chernoff-Stein Exponents","display_name":"Hypothesis Testing for Adversarial Channels: Chernoff-Stein Exponents","publication_year":2023,"publication_date":"2023-06-25","ids":{"openalex":"https://openalex.org/W4386072141","doi":"https://doi.org/10.1109/isit54713.2023.10206736"},"language":"en","primary_location":{"id":"doi:10.1109/isit54713.2023.10206736","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isit54713.2023.10206736","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/A5036943519","display_name":"Eeshan Modak","orcid":null},"institutions":[{"id":"https://openalex.org/I11947397","display_name":"Tata Institute of Fundamental Research","ror":"https://ror.org/03ht1xw27","country_code":"IN","type":"education","lineage":["https://openalex.org/I11947397","https://openalex.org/I2799351866","https://openalex.org/I3149292468"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Eeshan Modak","raw_affiliation_strings":["Tata Institute of Fundamental Research,Mumbai,India","Tata Institute of Fundamental Research, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Tata Institute of Fundamental Research,Mumbai,India","institution_ids":["https://openalex.org/I11947397"]},{"raw_affiliation_string":"Tata Institute of Fundamental Research, Mumbai, India","institution_ids":["https://openalex.org/I11947397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074608096","display_name":"Neha Sangwan","orcid":"https://orcid.org/0000-0001-5362-5133"},"institutions":[{"id":"https://openalex.org/I11947397","display_name":"Tata Institute of Fundamental Research","ror":"https://ror.org/03ht1xw27","country_code":"IN","type":"education","lineage":["https://openalex.org/I11947397","https://openalex.org/I2799351866","https://openalex.org/I3149292468"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Neha Sangwan","raw_affiliation_strings":["Tata Institute of Fundamental Research,Mumbai,India","Tata Institute of Fundamental Research, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Tata Institute of Fundamental Research,Mumbai,India","institution_ids":["https://openalex.org/I11947397"]},{"raw_affiliation_string":"Tata Institute of Fundamental Research, Mumbai, India","institution_ids":["https://openalex.org/I11947397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080893953","display_name":"Mayank Bakshi","orcid":"https://orcid.org/0000-0002-6051-923X"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mayank Bakshi","raw_affiliation_strings":["Arizona State University,Tempe,AZ,USA","Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University,Tempe,AZ,USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064926409","display_name":"Bikash Kumar Dey","orcid":"https://orcid.org/0000-0003-0333-2257"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Bikash Kumar Dey","raw_affiliation_strings":["Indian Institute of Technology Bombay,Mumbai,India","Indian Institute of Technology Bombay, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Bombay,Mumbai,India","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"Indian Institute of Technology Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045516299","display_name":"Vinod M. Prabhakaran","orcid":"https://orcid.org/0000-0001-7505-5303"},"institutions":[{"id":"https://openalex.org/I11947397","display_name":"Tata Institute of Fundamental Research","ror":"https://ror.org/03ht1xw27","country_code":"IN","type":"education","lineage":["https://openalex.org/I11947397","https://openalex.org/I2799351866","https://openalex.org/I3149292468"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vinod M. Prabhakaran","raw_affiliation_strings":["Tata Institute of Fundamental Research,Mumbai,India","Tata Institute of Fundamental Research, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Tata Institute of Fundamental Research,Mumbai,India","institution_ids":["https://openalex.org/I11947397"]},{"raw_affiliation_string":"Tata Institute of Fundamental Research, Mumbai, India","institution_ids":["https://openalex.org/I11947397"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5036943519"],"corresponding_institution_ids":["https://openalex.org/I11947397"],"apc_list":null,"apc_paid":null,"fwci":0.1339,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43565256,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1225","last_page":"1230"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10237","display_name":"Cryptography and Data Security","score":0.9890999794006348,"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/T12002","display_name":"Computability, Logic, AI Algorithms","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/randomness","display_name":"Randomness","score":0.675327718257904},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.6492531299591064},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5739309787750244},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.49306318163871765},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4806712567806244},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46161943674087524},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4233497679233551},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4180770516395569},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.41320914030075073},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1801489293575287},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16457557678222656}],"concepts":[{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.675327718257904},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.6492531299591064},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5739309787750244},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.49306318163871765},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4806712567806244},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46161943674087524},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4233497679233551},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4180770516395569},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.41320914030075073},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1801489293575287},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16457557678222656},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit54713.2023.10206736","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isit54713.2023.10206736","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":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320324563","display_name":"Bharti Centre for Communication","ror":"https://ror.org/057rcgy56"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1968632568","https://openalex.org/W1989102762","https://openalex.org/W2034597819","https://openalex.org/W2042587503","https://openalex.org/W2110340204","https://openalex.org/W2138129780","https://openalex.org/W2210387432","https://openalex.org/W2313009401","https://openalex.org/W3012191630","https://openalex.org/W3197572195","https://openalex.org/W4246098931","https://openalex.org/W4323323491","https://openalex.org/W4386072141","https://openalex.org/W6850547035"],"related_works":["https://openalex.org/W3034924094","https://openalex.org/W3094954546","https://openalex.org/W1488708774","https://openalex.org/W1982811510","https://openalex.org/W4391100477","https://openalex.org/W2402189625","https://openalex.org/W4327779705","https://openalex.org/W2502435347","https://openalex.org/W4377083194","https://openalex.org/W3039360660"],"abstract_inverted_index":{"We":[0,71],"study":[1,72],"the":[2,6,26,29,34,37,40,44,55,60,69,73,77,80,94,100,122],"Chernoff-Stein":[3,74],"exponent":[4,75],"of":[5,19,25,31,54],"following":[7],"binary":[8],"hypothesis":[9,15],"testing":[10],"problem:":[11],"Associated":[12],"with":[13,43,93],"each":[14,52],"is":[16,83,97,111],"a":[17,63,107],"set":[18,41],"channels.":[20],"A":[21],"transmitter,":[22],"without":[23],"knowledge":[24],"hypothesis,":[27,38,45],"chooses":[28,48],"vector":[30],"inputs":[32],"to":[33,66,99],"channel.":[35],"Given":[36],"from":[39],"associated":[42],"an":[46],"adversary":[47],"channels,":[49],"one":[50],"for":[51,76],"element":[53],"input":[56],"vector.":[57],"Based":[58],"on":[59],"channel":[61],"outputs,":[62],"detector":[64,95],"attempts":[65],"distinguish":[67],"between":[68],"hypotheses.":[70],"cases":[78],"where":[79],"transmitter":[81,123],"(i)":[82],"deterministic,":[84],"(ii)":[85],"may":[86,117],"privately":[87],"randomize,":[88],"and":[89],"(iii)":[90],"shares":[91],"randomness":[92],"that":[96,105],"unavailable":[98],"adversary.":[101],"It":[102],"turns":[103],"out":[104],"while":[106],"memoryless":[108],"transmission":[109],"strategy":[110],"optimal":[112],"under":[113],"shared":[114],"randomness,":[115],"it":[116],"be":[118],"strictly":[119],"suboptimal":[120],"when":[121],"only":[124],"has":[125],"private":[126],"randomness.":[127]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}
