{"id":"https://openalex.org/W4387870139","doi":"https://doi.org/10.1109/mlsp55844.2023.10285986","title":"A Robustness Measure for Neural Networks","display_name":"A Robustness Measure for Neural Networks","publication_year":2023,"publication_date":"2023-09-17","ids":{"openalex":"https://openalex.org/W4387870139","doi":"https://doi.org/10.1109/mlsp55844.2023.10285986"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp55844.2023.10285986","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mlsp55844.2023.10285986","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)","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/A5074624525","display_name":"Bahadir Bilgin","orcid":"https://orcid.org/0009-0004-4417-5950"},"institutions":[{"id":"https://openalex.org/I75256744","display_name":"Tennessee State University","ror":"https://ror.org/01fpczx89","country_code":"US","type":"education","lineage":["https://openalex.org/I75256744"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bahadir Bilgin","raw_affiliation_strings":["Tennessee State University,Department of Computer Science,Nashville,TN,USA","Department of Computer Science, Tennessee State University, Nashville, TN, USA"],"affiliations":[{"raw_affiliation_string":"Tennessee State University,Department of Computer Science,Nashville,TN,USA","institution_ids":["https://openalex.org/I75256744"]},{"raw_affiliation_string":"Department of Computer Science, Tennessee State University, Nashville, TN, USA","institution_ids":["https://openalex.org/I75256744"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038282519","display_name":"Ali Sekmen","orcid":"https://orcid.org/0000-0002-5342-0418"},"institutions":[{"id":"https://openalex.org/I75256744","display_name":"Tennessee State University","ror":"https://ror.org/01fpczx89","country_code":"US","type":"education","lineage":["https://openalex.org/I75256744"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ali Sekmen","raw_affiliation_strings":["Tennessee State University,Department of Computer Science,Nashville,TN,USA","Department of Computer Science, Tennessee State University, Nashville, TN, USA"],"affiliations":[{"raw_affiliation_string":"Tennessee State University,Department of Computer Science,Nashville,TN,USA","institution_ids":["https://openalex.org/I75256744"]},{"raw_affiliation_string":"Department of Computer Science, Tennessee State University, Nashville, TN, USA","institution_ids":["https://openalex.org/I75256744"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5074624525"],"corresponding_institution_ids":["https://openalex.org/I75256744"],"apc_list":null,"apc_paid":null,"fwci":0.3491,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66177825,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9970999956130981,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9761000275611877,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8795171976089478},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7113879919052124},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.607255220413208},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.5811382532119751},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.5546122789382935},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5219194889068604},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5112247467041016},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5084668397903442},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4389268159866333},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4375495910644531},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.380444198846817},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37747031450271606},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3217754364013672},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19419896602630615}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8795171976089478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7113879919052124},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.607255220413208},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.5811382532119751},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.5546122789382935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5219194889068604},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5112247467041016},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5084668397903442},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4389268159866333},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4375495910644531},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.380444198846817},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37747031450271606},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3217754364013672},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19419896602630615},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"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},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlsp55844.2023.10285986","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mlsp55844.2023.10285986","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)","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":64,"referenced_works":["https://openalex.org/W1945616565","https://openalex.org/W1998255116","https://openalex.org/W2087399108","https://openalex.org/W2243397390","https://openalex.org/W2603766943","https://openalex.org/W2610332124","https://openalex.org/W2736506089","https://openalex.org/W2746600820","https://openalex.org/W2768346313","https://openalex.org/W2786163515","https://openalex.org/W2944869944","https://openalex.org/W2962756933","https://openalex.org/W2963389226","https://openalex.org/W2963693747","https://openalex.org/W2963744840","https://openalex.org/W2964116600","https://openalex.org/W2995245581","https://openalex.org/W2996564870","https://openalex.org/W2999905431","https://openalex.org/W3009870288","https://openalex.org/W3015625436","https://openalex.org/W3018979822","https://openalex.org/W3035669514","https://openalex.org/W3044960932","https://openalex.org/W3092171228","https://openalex.org/W3106412272","https://openalex.org/W3106797537","https://openalex.org/W3134621603","https://openalex.org/W3162220519","https://openalex.org/W3179455893","https://openalex.org/W3185442557","https://openalex.org/W3213735916","https://openalex.org/W4281621025","https://openalex.org/W4287205860","https://openalex.org/W4287637349","https://openalex.org/W4287745534","https://openalex.org/W4312933868","https://openalex.org/W4318147145","https://openalex.org/W4320342782","https://openalex.org/W6640425456","https://openalex.org/W6729756640","https://openalex.org/W6738693630","https://openalex.org/W6748277150","https://openalex.org/W6748458661","https://openalex.org/W6754543342","https://openalex.org/W6755310938","https://openalex.org/W6759129252","https://openalex.org/W6765694979","https://openalex.org/W6767248609","https://openalex.org/W6771326840","https://openalex.org/W6771809012","https://openalex.org/W6772461460","https://openalex.org/W6774681163","https://openalex.org/W6780095956","https://openalex.org/W6780154528","https://openalex.org/W6783953417","https://openalex.org/W6784426856","https://openalex.org/W6784493056","https://openalex.org/W6791106756","https://openalex.org/W6795027320","https://openalex.org/W6799503532","https://openalex.org/W6803163449","https://openalex.org/W6839002168","https://openalex.org/W6849189713"],"related_works":["https://openalex.org/W2086397253","https://openalex.org/W2133122801","https://openalex.org/W55883722","https://openalex.org/W600422426","https://openalex.org/W2007156430","https://openalex.org/W2394379345","https://openalex.org/W3158596343","https://openalex.org/W4285322112","https://openalex.org/W4292794239","https://openalex.org/W4385572030"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,50],"novel":[4],"method":[5,32,67],"that":[6],"can":[7],"be":[8],"used":[9],"to":[10],"determine":[11],"relative":[12],"robustness":[13],"of":[14,39,60],"multiple":[15],"networks":[16],"using":[17,70,78],"only":[18],"training":[19],"data":[20,41],"set":[21],"without":[22],"any":[23,58],"need":[24],"for":[25],"regular":[26],"or":[27,63],"adversarial":[28],"test":[29],"data.":[30],"Proposed":[31],"is":[33,49],"based":[34],"on":[35],"measuring":[36],"the":[37,40,44],"curvature":[38],"manifold":[42],"at":[43],"network":[45,61,73],"output":[46],"layer":[47],"which":[48],"full":[51],"black-box":[52],"approach":[53],"and":[54],"does":[55],"not":[56],"require":[57],"knowledge":[59],"topology":[62],"parameters.":[64],"The":[65],"proposed":[66],"was":[68],"tested":[69],"19":[71],"different":[72],"models":[74],"published":[75],"in":[76],"literature":[77],"CIFAR-10":[79],"dataset.":[80]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
