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Statements

Subject Item
dbr:CLEVER_score
rdfs:label
CLEVER score
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
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dbc:Deep_learning dbc:Artificial_neural_networks
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58469254
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1071826315
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dbr:Ian_Goodfellow dbc:Deep_learning dbc:Artificial_neural_networks dbr:MIT-IBM_Watson_AI_Lab dbr:International_Conference_on_Learning_Representations dbr:Artificial_neural_network dbr:Deep_learning dbr:IBM_Research
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n9:9cFNH wikidata:Q60743522
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
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