{"id":"https://openalex.org/W7160829657","doi":"https://doi.org/10.1016/j.neucom.2026.133875","title":"Near misses analysis (NMA): A new explainable AI approach for model understanding, comparison, debugging and adversarial attack detection","display_name":"Near misses analysis (NMA): A new explainable AI approach for model understanding, comparison, debugging and adversarial attack detection","publication_year":2026,"publication_date":"2026-05-12","ids":{"openalex":"https://openalex.org/W7160829657","doi":"https://doi.org/10.1016/j.neucom.2026.133875"},"language":"en","primary_location":{"id":"doi:10.1016/j.neucom.2026.133875","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.neucom.2026.133875","pdf_url":null,"source":{"id":"https://openalex.org/S45693802","display_name":"Neurocomputing","issn_l":"0925-2312","issn":["0925-2312","1872-8286"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neurocomputing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.neucom.2026.133875","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016168163","display_name":"Eran Kaufman","orcid":"https://orcid.org/0000-0002-1428-1486"},"institutions":[{"id":"https://openalex.org/I166937679","display_name":"Shenkar College of Engineering and Design","ror":"https://ror.org/003s3dn82","country_code":"IL","type":"education","lineage":["https://openalex.org/I166937679"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Eran Kaufman","raw_affiliation_strings":["Shenkar Engineering.Design.Art, Anna Frank 12 St., Ramat-Gan, 52526, Israel"],"raw_orcid":"https://orcid.org/0000-0002-1428-1486","affiliations":[{"raw_affiliation_string":"Shenkar Engineering.Design.Art, Anna Frank 12 St., Ramat-Gan, 52526, Israel","institution_ids":["https://openalex.org/I166937679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050372759","display_name":"A. W. Levy","orcid":null},"institutions":[{"id":"https://openalex.org/I166937679","display_name":"Shenkar College of Engineering and Design","ror":"https://ror.org/003s3dn82","country_code":"IL","type":"education","lineage":["https://openalex.org/I166937679"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Avivit Levy","raw_affiliation_strings":["Shenkar Engineering.Design.Art, Anna Frank 12 St., Ramat-Gan, 52526, Israel"],"raw_orcid":"https://orcid.org/0000-0002-1686-0094","affiliations":[{"raw_affiliation_string":"Shenkar Engineering.Design.Art, Anna Frank 12 St., Ramat-Gan, 52526, Israel","institution_ids":["https://openalex.org/I166937679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087376753","display_name":"Yasmin Adler","orcid":null},"institutions":[{"id":"https://openalex.org/I166937679","display_name":"Shenkar College of Engineering and Design","ror":"https://ror.org/003s3dn82","country_code":"IL","type":"education","lineage":["https://openalex.org/I166937679"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Yasmin Adler","raw_affiliation_strings":["Shenkar Engineering.Design.Art, Anna Frank 12 St., Ramat-Gan, 52526, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenkar Engineering.Design.Art, Anna Frank 12 St., Ramat-Gan, 52526, Israel","institution_ids":["https://openalex.org/I166937679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122964784","display_name":"Adi Levi","orcid":null},"institutions":[{"id":"https://openalex.org/I166937679","display_name":"Shenkar College of Engineering and Design","ror":"https://ror.org/003s3dn82","country_code":"IL","type":"education","lineage":["https://openalex.org/I166937679"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Adi Levi","raw_affiliation_strings":["Shenkar Engineering.Design.Art, Anna Frank 12 St., Ramat-Gan, 52526, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenkar Engineering.Design.Art, Anna Frank 12 St., Ramat-Gan, 52526, Israel","institution_ids":["https://openalex.org/I166937679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5135861581","display_name":"Moran Sinai","orcid":null},"institutions":[{"id":"https://openalex.org/I166937679","display_name":"Shenkar College of Engineering and Design","ror":"https://ror.org/003s3dn82","country_code":"IL","type":"education","lineage":["https://openalex.org/I166937679"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Moran Sinai","raw_affiliation_strings":["Shenkar Engineering.Design.Art, Anna Frank 12 St., Ramat-Gan, 52526, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenkar Engineering.Design.Art, Anna Frank 12 St., Ramat-Gan, 52526, Israel","institution_ids":["https://openalex.org/I166937679"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5016168163"],"corresponding_institution_ids":["https://openalex.org/I166937679"],"apc_list":{"value":2670,"currency":"USD","value_usd":2670},"apc_paid":{"value":2670,"currency":"USD","value_usd":2670},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.46381651,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"694","issue":null,"first_page":"133875","last_page":"133875"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.857200026512146,"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":0.857200026512146,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.031700000166893005,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.026399999856948853,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8172000050544739},{"id":"https://openalex.org/keywords/debugging","display_name":"Debugging","score":0.802299976348877},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5289000272750854},{"id":"https://openalex.org/keywords/near-miss","display_name":"Near miss","score":0.44859999418258667},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3116999864578247}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8172000050544739},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8090000152587891},{"id":"https://openalex.org/C168065819","wikidata":"https://www.wikidata.org/wiki/Q845566","display_name":"Debugging","level":2,"score":0.802299976348877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5659999847412109},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5289000272750854},{"id":"https://openalex.org/C206713868","wikidata":"https://www.wikidata.org/wiki/Q1674639","display_name":"Near miss","level":2,"score":0.44859999418258667},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40220001339912415},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33559998869895935},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3116999864578247},{"id":"https://openalex.org/C136388014","wikidata":"https://www.wikidata.org/wiki/Q17084976","display_name":"Algorithmic program debugging","level":3,"score":0.29600000381469727},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2827000021934509},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2696000039577484},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26739999651908875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.neucom.2026.133875","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.neucom.2026.133875","pdf_url":null,"source":{"id":"https://openalex.org/S45693802","display_name":"Neurocomputing","issn_l":"0925-2312","issn":["0925-2312","1872-8286"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neurocomputing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.neucom.2026.133875","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.neucom.2026.133875","pdf_url":null,"source":{"id":"https://openalex.org/S45693802","display_name":"Neurocomputing","issn_l":"0925-2312","issn":["0925-2312","1872-8286"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neurocomputing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2616247523","https://openalex.org/W2776207810","https://openalex.org/W2927351257","https://openalex.org/W2958089299","https://openalex.org/W2964303497"],"related_works":[],"abstract_inverted_index":{"This":[0,15],"paper":[1],"introduces":[2],"a":[3,25,37,67,76,81,151,182,200,225],"novel":[4],"explainable":[5],"artificial":[6],"intelligence":[7],"(XAI)":[8],"approach":[9,16,125],"based":[10,204],"on":[11,128,143,205,218],"near-misses":[12],"analysis":[13],"(NMA).":[14],"uses":[17],"the":[18,32,64,170,192,212,235,246],"network":[19,39,130],"close":[20],"related":[21],"predictions":[22],"to":[23,59,84,104,107,111,118,233,244],"reveal":[24],"hierarchy":[26],"of":[27,36,66,87,194,215],"logical":[28],"concepts":[29,72,165,208],"inferred":[30],"from":[31],"latent":[33,164],"decision-making":[34],"process":[35],"neural":[38,206],"(NN)":[40],"without":[41],"delving":[42],"into":[43],"its":[44],"explicit":[45,70],"structure.":[46],"Several":[47],"NMA":[48,100,160],"usage":[49],"possibilities":[50],"are":[51],"reported":[52,176],"in":[53,63,134,150],"this":[54,216],"paper.":[55],"First,":[56],"it":[57,116,174],"serves":[58],"create":[60],"an":[61],"explanation":[62],"form":[65],"gradually":[68],"expanding":[69],"linked":[71],"which":[73,86,146,180],"coupled":[74],"with":[75,186],"proper":[77],"dictionary":[78],"can":[79,101,161],"provide":[80],"scoring":[82,172,228],"method":[83,203,217,237,248],"differentiate":[85],"any":[88],"given":[89],"models":[90,109,220],"is":[91,126,175],"better":[92],"at":[93],"providing":[94],"human-like":[95],"conceptual":[96],"explanations.":[97],"In":[98],"addition,":[99],"be":[102],"used":[103],"pinpoint":[105],"how":[106,232,243],"improve":[108],"according":[110],"their":[112],"explanatory":[113,213,227],"outcome.":[114],"Finally,":[115],"enables":[117],"detect":[119],"adversarial":[120,251],"attacks.":[121,252],"The":[122],"proposed":[123],"XAI":[124,202],"examined":[127],"different":[129],"architectures":[131],"that":[132,159,177],"vary":[133],"size":[135],"and":[136,142,196,221],"shape":[137],"(ResNet,":[138],"VGG,":[139],"EfficientNet,":[140],"MobileNet)":[141],"several":[144],"datasets":[145],"were":[147],"already":[148],"organized":[149],"hierarchical":[152],"concept":[153],"structure":[154],"(ImageNet,":[155],"CIFAR100).":[156],"Results":[157],"demonstrate":[158],"reflect":[162],"NNs":[163],"generation":[166],"process.":[167],"Moreover,":[168],"using":[169],"devised":[171],"method,":[173],"efficient":[178],"architectures,":[179],"achieve":[181],"similar":[183],"accuracy":[184],"level":[185],"less":[187],"neurons,":[188],"may":[189],"still":[190],"pay":[191],"price":[193],"explainability":[195],"robustness.":[197],"\u2022":[198,210,223,230,241],"Introduce":[199],"new":[201,226,236,247],"networks":[207],"generation.":[209],"Demonstrate":[211,231,242],"capabilities":[214],"various":[219],"datasets.":[222],"Propose":[224],"method.":[229],"use":[234,245],"for":[238,249],"model":[239],"debugging.":[240],"detecting":[250]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2026-05-12T00:00:00"}
