{"id":"https://openalex.org/W3158115272","doi":"https://doi.org/10.1109/icpr48806.2021.9412665","title":"GAP: Quantifying the Generative Adversarial Set and Class Feature Applicability of Deep Neural Networks","display_name":"GAP: Quantifying the Generative Adversarial Set and Class Feature Applicability of Deep Neural Networks","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3158115272","doi":"https://doi.org/10.1109/icpr48806.2021.9412665","mag":"3158115272"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9412665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://repository.lsu.edu/enviro_sciences_pubs/385","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053772602","display_name":"Edward Collier","orcid":null},"institutions":[{"id":"https://openalex.org/I121820613","display_name":"Louisiana State University","ror":"https://ror.org/05ect4e57","country_code":"US","type":"education","lineage":["https://openalex.org/I121820613"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Edward Collier","raw_affiliation_strings":["Louisiana State University, Baton Rouge, LA"],"affiliations":[{"raw_affiliation_string":"Louisiana State University, Baton Rouge, LA","institution_ids":["https://openalex.org/I121820613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101963514","display_name":"Supratik Mukhopadhyay","orcid":"https://orcid.org/0000-0003-0839-1133"},"institutions":[{"id":"https://openalex.org/I121820613","display_name":"Louisiana State University","ror":"https://ror.org/05ect4e57","country_code":"US","type":"education","lineage":["https://openalex.org/I121820613"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Supratik Mukhopadhyay","raw_affiliation_strings":["Louisiana State University, Baton Rouge, LA"],"affiliations":[{"raw_affiliation_string":"Louisiana State University, Baton Rouge, LA","institution_ids":["https://openalex.org/I121820613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5053772602"],"corresponding_institution_ids":["https://openalex.org/I121820613"],"apc_list":null,"apc_paid":null,"fwci":0.2719,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61205399,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":"12","issue":null,"first_page":"8384","last_page":"8391"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9990000128746033,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9848999977111816,"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/computer-science","display_name":"Computer science","score":0.7547589540481567},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7496249079704285},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7320171594619751},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6959322690963745},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6853969097137451},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6732474565505981},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6406674385070801},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5741902589797974},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5477019548416138},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5421742796897888},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5098692178726196},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.335625559091568}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7547589540481567},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7496249079704285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7320171594619751},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6959322690963745},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6853969097137451},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6732474565505981},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6406674385070801},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5741902589797974},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5477019548416138},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5421742796897888},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5098692178726196},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.335625559091568},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr48806.2021.9412665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.lsu.edu:enviro_sciences_pubs-1384","is_oa":true,"landing_page_url":"https://repository.lsu.edu/enviro_sciences_pubs/385","pdf_url":null,"source":{"id":"https://openalex.org/S4210169993","display_name":"Civil War Book Review","issn_l":"1528-6592","issn":["1528-6592"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310315936","host_organization_name":"Louisiana State University","host_organization_lineage":["https://openalex.org/P4310315936"],"host_organization_lineage_names":["Louisiana State University"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty Publications","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:repository.lsu.edu:enviro_sciences_pubs-1384","is_oa":true,"landing_page_url":"https://repository.lsu.edu/enviro_sciences_pubs/385","pdf_url":null,"source":{"id":"https://openalex.org/S4210169993","display_name":"Civil War Book Review","issn_l":"1528-6592","issn":["1528-6592"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310315936","host_organization_name":"Louisiana State University","host_organization_lineage":["https://openalex.org/P4310315936"],"host_organization_lineage_names":["Louisiana State University"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty Publications","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W22861983","https://openalex.org/W1565327149","https://openalex.org/W1593532658","https://openalex.org/W1915485278","https://openalex.org/W2078179989","https://openalex.org/W2099471712","https://openalex.org/W2103851188","https://openalex.org/W2120149881","https://openalex.org/W2125389028","https://openalex.org/W2149933564","https://openalex.org/W2156940638","https://openalex.org/W2159291411","https://openalex.org/W2162651021","https://openalex.org/W2163922914","https://openalex.org/W2165698076","https://openalex.org/W2173520492","https://openalex.org/W2211843587","https://openalex.org/W2214409633","https://openalex.org/W2280985394","https://openalex.org/W2341914330","https://openalex.org/W2687693326","https://openalex.org/W2740168373","https://openalex.org/W2883074505","https://openalex.org/W2912459545","https://openalex.org/W2951670162","https://openalex.org/W2962785096","https://openalex.org/W2962879692","https://openalex.org/W2963073614","https://openalex.org/W2963384853","https://openalex.org/W2963592600","https://openalex.org/W2963675401","https://openalex.org/W2963684088","https://openalex.org/W2963800363","https://openalex.org/W2963870446","https://openalex.org/W2963873275","https://openalex.org/W2963981733","https://openalex.org/W2964278684","https://openalex.org/W2982287241","https://openalex.org/W2987094173","https://openalex.org/W3099910796","https://openalex.org/W4295521014","https://openalex.org/W4299518610","https://openalex.org/W4320013936","https://openalex.org/W6600949241","https://openalex.org/W6675410418","https://openalex.org/W6682132143","https://openalex.org/W6682974852","https://openalex.org/W6695456611","https://openalex.org/W6713955831","https://openalex.org/W6735913928","https://openalex.org/W6736916240","https://openalex.org/W6746090280"],"related_works":["https://openalex.org/W2619203976","https://openalex.org/W2950183588","https://openalex.org/W3080754722","https://openalex.org/W4383221314","https://openalex.org/W3093978547","https://openalex.org/W2953536436","https://openalex.org/W3203790781","https://openalex.org/W2997056298","https://openalex.org/W4313346231","https://openalex.org/W2738001131"],"abstract_inverted_index":{"Recent":[0],"work":[1,47],"in":[2,12],"deep":[3],"neural":[4,29],"networks":[5],"has":[6],"sought":[7],"to":[8,24,50,73,83],"characterize":[9],"the":[10,52],"nature":[11],"which":[13],"a":[14],"network":[15,30],"learns":[16],"features":[17,22,55],"and":[18,42,64,76],"how":[19],"applicable":[20],"learnt":[21],"are":[23],"various":[25,80],"problem":[26],"sets.":[27],"Deep":[28],"applicability":[31,53,72],"can":[32],"be":[33],"split":[34],"into":[35],"three":[36],"sub-problems;":[37],"set":[38,63],"applicability,":[39,41],"class":[40,65],"instance":[43],"applicability.":[44,66,85],"In":[45],"this":[46],"we":[48],"seek":[49],"quantify":[51,84],"of":[54],"learned":[56],"during":[57],"adversarial":[58],"training,":[59],"focusing":[60],"specifically":[61],"on":[62,79],"We":[67],"apply":[68],"techniques":[69],"for":[70],"measuring":[71],"both":[74],"generators":[75],"discriminators":[77],"trained":[78],"data":[81],"sets":[82]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}