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.[1] It was developed by a team at the MIT-IBM Watson AI Lab in IBM Research and first presented at the 2018 International Conference on Learning Representations.[2] It was mentioned and reviewed by Ian Goodfellow[3] as well. It was adopted into a educational game Fool The Bank[4] by Narendra Nath Joshi,[5] Abhishek Bhandwaldar and Casey Dugan
![]() | Original source: https://en.wikipedia.org/wiki/CLEVER score.
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