The topic of this article may not meet Wikipedia's
general notability guideline. (September 2018) |
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
The topic of this article may not meet Wikipedia's
general notability guideline. (September 2018) |
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