@prefix rdfs: . @prefix dbr: . dbr:CLEVER_score rdfs:label "CLEVER score"@en ; rdfs:comment "The CLEVER (Cross Lipschitz Extreme Value for nEtwork Robustness) score is a way of measuring the robustness of an artificial neural network towards adversarial attacks.It was developed by a team at the in IBM Research and first presented at the 2018 International Conference on Learning Representations. It was mentioned and reviewed by Ian Goodfellow as well. It was adopted into a educational game Fool The Bank by Narendra Nath Joshi, Abhishek Bhandwaldar and Casey Dugan"@en . @prefix dcterms: . @prefix dbc: . dbr:CLEVER_score dcterms:subject dbc:Deep_learning , dbc:Artificial_neural_networks . @prefix dbo: . dbr:CLEVER_score dbo:wikiPageID 58469254 ; dbo:wikiPageRevisionID 1071826315 ; dbo:wikiPageWikiLink dbc:Deep_learning , dbr:IBM_Research , dbr:Deep_learning , dbr:Ian_Goodfellow , dbr:International_Conference_on_Learning_Representations , dbc:Artificial_neural_networks , dbr:Artificial_neural_network , dbr:MIT-IBM_Watson_AI_Lab . @prefix owl: . @prefix wikidata: . dbr:CLEVER_score owl:sameAs wikidata:Q60743522 , . @prefix dbp: . @prefix dbt: . dbr:CLEVER_score dbp:wikiPageUsesTemplate dbt:Orphan , dbt:Reflist , dbt:Notability , dbt:Computer-science-stub ; dbo:abstract "The CLEVER (Cross Lipschitz Extreme Value for nEtwork Robustness) score is a way of measuring the robustness of an artificial neural network towards adversarial attacks.It was developed by a team at the in IBM Research and first presented at the 2018 International Conference on Learning Representations. It was mentioned and reviewed by Ian Goodfellow as well. It was adopted into a educational game Fool The Bank by Narendra Nath Joshi, Abhishek Bhandwaldar and Casey Dugan"@en . @prefix prov: . dbr:CLEVER_score prov:wasDerivedFrom . @prefix xsd: . dbr:CLEVER_score dbo:wikiPageLength "1529"^^xsd:nonNegativeInteger . @prefix foaf: . @prefix wikipedia-en: . dbr:CLEVER_score foaf:isPrimaryTopicOf wikipedia-en:CLEVER_score .