{"id":"https://openalex.org/W4323521021","doi":"https://doi.org/10.1109/ieeeconf56349.2022.10051990","title":"On the Coarse Robustness of Classifiers","display_name":"On the Coarse Robustness of Classifiers","publication_year":2022,"publication_date":"2022-10-31","ids":{"openalex":"https://openalex.org/W4323521021","doi":"https://doi.org/10.1109/ieeeconf56349.2022.10051990"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf56349.2022.10051990","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ieeeconf56349.2022.10051990","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 56th Asilomar Conference on Signals, Systems, and Computers","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/A5003538946","display_name":"Ismail Alkhouri","orcid":"https://orcid.org/0000-0002-5754-5509"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ismail R. Alkhouri","raw_affiliation_strings":["University of Central Florida,Department of Electrical and Computer Engineering,Orlando,FL,USA","Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL, USA"],"affiliations":[{"raw_affiliation_string":"University of Central Florida,Department of Electrical and Computer Engineering,Orlando,FL,USA","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033330108","display_name":"Stanley Bak","orcid":"https://orcid.org/0000-0003-4947-9553"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stanley Bak","raw_affiliation_strings":["Stony Brook University,Department of Computer Science,Stony Brook,NY,USA","Department of Computer Science, Stony Brook University, Stony Brook, NY, USA"],"affiliations":[{"raw_affiliation_string":"Stony Brook University,Department of Computer Science,Stony Brook,NY,USA","institution_ids":["https://openalex.org/I59553526"]},{"raw_affiliation_string":"Department of Computer Science, Stony Brook University, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067109059","display_name":"Alvaro Velasquez","orcid":"https://orcid.org/0000-0001-6757-105X"},"institutions":[{"id":"https://openalex.org/I1280581677","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08","country_code":"US","type":"government","lineage":["https://openalex.org/I1280581677","https://openalex.org/I1296703163","https://openalex.org/I1330347796"]},{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alvaro Velasquez","raw_affiliation_strings":["Information Innovation Office, Defense Advanced Research Projects Agency,Arlington,VA,USA","Department of Computer Science, University of Colorado, Boulder, CO, USA","Information Innovation Office, Defense Advanced Research Projects Agency, Arlington, VA, USA"],"affiliations":[{"raw_affiliation_string":"Information Innovation Office, Defense Advanced Research Projects Agency,Arlington,VA,USA","institution_ids":["https://openalex.org/I1280581677"]},{"raw_affiliation_string":"Department of Computer Science, University of Colorado, Boulder, CO, USA","institution_ids":["https://openalex.org/I188538660"]},{"raw_affiliation_string":"Information Innovation Office, Defense Advanced Research Projects Agency, Arlington, VA, USA","institution_ids":["https://openalex.org/I1280581677"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003612688","display_name":"George Atia","orcid":"https://orcid.org/0000-0001-7958-9855"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George K. Atia","raw_affiliation_strings":["University of Central Florida,Department of Electrical and Computer Engineering,Orlando,FL,USA","Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL, USA"],"affiliations":[{"raw_affiliation_string":"University of Central Florida,Department of Electrical and Computer Engineering,Orlando,FL,USA","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003538946"],"corresponding_institution_ids":["https://openalex.org/I106165777"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5603184,"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":"569","last_page":"573"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9889000058174133,"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"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9663000106811523,"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/robustness","display_name":"Robustness (evolution)","score":0.7063835263252258},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6729501485824585},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.521734356880188},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.48679086565971375},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4473360478878021},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3327981233596802}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7063835263252258},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6729501485824585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.521734356880188},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.48679086565971375},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4473360478878021},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3327981233596802},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf56349.2022.10051990","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ieeeconf56349.2022.10051990","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 56th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.49000000953674316}],"awards":[{"id":"https://openalex.org/G2243852676","display_name":null,"funder_award_id":"20RICOR012","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G3277782020","display_name":null,"funder_award_id":"FA8750-20-3-1004","funder_id":"https://openalex.org/F4320338294","funder_display_name":"Air Force Research Laboratory"},{"id":"https://openalex.org/G3736233273","display_name":null,"funder_award_id":"DE-EE0009152","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G4439686520","display_name":null,"funder_award_id":"CCF-2106339","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"},{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1945616565","https://openalex.org/W2180612164","https://openalex.org/W2750384547","https://openalex.org/W2774644650","https://openalex.org/W2938439675","https://openalex.org/W2963542245","https://openalex.org/W2963857521","https://openalex.org/W2975486888","https://openalex.org/W3118608800","https://openalex.org/W3161111820","https://openalex.org/W3214600145","https://openalex.org/W4212799367","https://openalex.org/W6640425456","https://openalex.org/W6743688258","https://openalex.org/W6748458661"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W2033914206","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Standard":[0],"measures":[1],"of":[2,9,18,67,79,139],"robustness,":[3],"derived":[4],"from":[5],"the":[6,16,23,46,80,90,116,123,135],"least":[7],"amount":[8],"adversarial":[10],"perturbation,":[11],"often":[12],"fail":[13],"to":[14,21,29,39,56,75,88,100,122],"gauge":[15],"ability":[17],"a":[19,31,40,64,76,111,144],"classifier":[20,32],"recognize":[22],"coarse":[24,35,52,68,117,137],"genres.":[25],"It":[26],"is":[27,43,71,98],"desirable":[28],"have":[30],"with":[33,37,45,73,104],"high":[34],"robustness":[36,69,140],"respect":[38,74],"grouping":[41,78],"that":[42,50,70,97,114,131],"consistent":[44],"class":[47,81],"semantics,":[48],"so":[49],"semantically-plausible":[51],"categories":[53],"remain":[54],"invariant":[55],"imperceptible":[57],"perturbations.":[58],"In":[59],"this":[60,132],"work,":[61],"we":[62,109],"formalize":[63],"new":[65],"notion":[66,138],"defined":[72],"specified":[77],"labels.":[82],"We":[83,126],"formulate":[84],"an":[85,95],"optimization":[86],"problem":[87],"obtain":[89],"optimal":[91],"grouping,":[92],"and":[93,128,149],"develop":[94],"algorithm":[96],"shown":[99],"perform":[101],"on":[102],"par":[103],"brute":[105],"force":[106],"search.":[107],"Moreover,":[108],"propose":[110],"training":[112,150],"mechanism":[113,133],"incorporates":[115],"label":[118],"information":[119],"in":[120],"addition":[121],"finer":[124],"ones.":[125],"empirically":[127],"theoretically":[129],"show":[130],"improves":[134],"proposed":[136],"while":[141],"only":[142],"requiring":[143],"relatively":[145],"small":[146],"additional":[147],"parameters":[148],"time.":[151]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}