{"id":"https://openalex.org/W3196603828","doi":"https://doi.org/10.1109/isit45174.2021.9518178","title":"A Le Cam Type Bound for Adversarial Learning and Applications","display_name":"A Le Cam Type Bound for Adversarial Learning and Applications","publication_year":2021,"publication_date":"2021-07-12","ids":{"openalex":"https://openalex.org/W3196603828","doi":"https://doi.org/10.1109/isit45174.2021.9518178","mag":"3196603828"},"language":"en","primary_location":{"id":"doi:10.1109/isit45174.2021.9518178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit45174.2021.9518178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 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/A5008082286","display_name":"Qiuling Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qiuling Xu","raw_affiliation_strings":["Purdue University,Department of Computer Science,West Lafayette,IN,USA,47907","Department of Computer Science, Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"Purdue University,Department of Computer Science,West Lafayette,IN,USA,47907","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Department of Computer Science, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018564606","display_name":"Kevin Bello","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin Bello","raw_affiliation_strings":["Purdue University,Department of Computer Science,West Lafayette,IN,USA,47907","Department of Computer Science, Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"Purdue University,Department of Computer Science,West Lafayette,IN,USA,47907","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Department of Computer Science, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038965118","display_name":"Jean Honorio","orcid":"https://orcid.org/0000-0002-6448-0598"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jean Honorio","raw_affiliation_strings":["Purdue University,Department of Computer Science,West Lafayette,IN,USA,47907","Department of Computer Science, Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"Purdue University,Department of Computer Science,West Lafayette,IN,USA,47907","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Department of Computer Science, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5008082286"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":0.2797,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64004593,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1164","last_page":"1169"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998999834060669,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998999834060669,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9725000262260437,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9596999883651733,"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/adversarial-system","display_name":"Adversarial system","score":0.8494479656219482},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.7351745367050171},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.671518087387085},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6564074754714966},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5756492614746094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5553619861602783},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5349339842796326},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5226131081581116},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4511297941207886},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43871474266052246},{"id":"https://openalex.org/keywords/type","display_name":"Type (biology)","score":0.42647019028663635},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4113251566886902},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24011832475662231},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09789213538169861}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8494479656219482},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.7351745367050171},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.671518087387085},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6564074754714966},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5756492614746094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5553619861602783},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5349339842796326},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5226131081581116},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4511297941207886},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43871474266052246},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.42647019028663635},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4113251566886902},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24011832475662231},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09789213538169861},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit45174.2021.9518178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit45174.2021.9518178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1538452572","https://openalex.org/W1571975558","https://openalex.org/W1945616565","https://openalex.org/W1996908140","https://openalex.org/W2032916024","https://openalex.org/W2046033161","https://openalex.org/W2093579479","https://openalex.org/W2618235498","https://openalex.org/W2799194071","https://openalex.org/W2809943552","https://openalex.org/W2894553193","https://openalex.org/W2898193427","https://openalex.org/W2900175074","https://openalex.org/W2915022044","https://openalex.org/W2946297661","https://openalex.org/W2947129602","https://openalex.org/W2949979904","https://openalex.org/W2950048339","https://openalex.org/W2962713494","https://openalex.org/W2963491874","https://openalex.org/W2964301649","https://openalex.org/W2969416221","https://openalex.org/W2975486888","https://openalex.org/W2976021448","https://openalex.org/W2981554050","https://openalex.org/W4211030719","https://openalex.org/W4241492945","https://openalex.org/W4249736682","https://openalex.org/W4299356147","https://openalex.org/W6640425456","https://openalex.org/W6734629475","https://openalex.org/W6738369334","https://openalex.org/W6745454490","https://openalex.org/W6755282202","https://openalex.org/W6755816981","https://openalex.org/W6755829279","https://openalex.org/W6758684365","https://openalex.org/W6759410175","https://openalex.org/W6762814303","https://openalex.org/W6763552680","https://openalex.org/W6767692553","https://openalex.org/W6769522718"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W4246396837","https://openalex.org/W2482350142","https://openalex.org/W3176240006","https://openalex.org/W4320018150","https://openalex.org/W2918664383","https://openalex.org/W2040808657","https://openalex.org/W4320855730","https://openalex.org/W106056076","https://openalex.org/W2135200719"],"abstract_inverted_index":{"Robustness":[0],"of":[1,28,46,77,109,116,119],"machine":[2],"learning":[3,31,47,68,79,95,111],"methods":[4],"is":[5,21],"essential":[6,22],"for":[7,94],"modern":[8],"practical":[9],"applications.":[10],"Given":[11],"the":[12,25,44,52,67,74],"arms":[13],"race":[14],"between":[15],"attack":[16],"and":[17,113],"defense":[18],"mechanisms,":[19],"it":[20],"to":[23,105],"understand":[24],"fundamental":[26],"limits":[27,76],"any":[29],"conceivable":[30],"method":[32],"used":[33],"in":[34],"an":[35],"adversarial":[36,78],"setting.":[37],"In":[38],"this":[39],"work,":[40],"we":[41,86,100],"focus":[42],"on":[43,73],"problem":[45],"from":[48,96],"noise-injected":[49,97,120],"data,":[50],"where":[51],"existing":[53],"literature":[54],"falls":[55],"short":[56],"by":[57,65],"either":[58],"assuming":[59,81],"a":[60,82,88,106],"specific":[61],"adversary":[62],"model":[63],"or":[64],"over-specifying":[66],"problem.":[69],"We":[70],"shed":[71],"light":[72],"information-theoretic":[75],"without":[80],"particular":[83],"adversary.":[84],"Specifically,":[85],"derive":[87],"general":[89,103],"Le":[90],"Cam":[91],"type":[92],"bound":[93],"data.":[98,121],"Finally,":[99],"apply":[101],"our":[102],"bounds":[104],"canonical":[107],"set":[108],"non-trivial":[110],"problems":[112],"provide":[114],"examples":[115],"common":[117],"types":[118]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-14T06:41:57.775601","created_date":"2025-10-10T00:00:00"}
