CLEVER score
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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 MIT-IBM Watson AI Lab 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 an educational game Fool The Bank by Narendra Nath Joshi, Abhishek Bhandwaldar and Casey Dugan
References
- ↑ Weng, Tsui-Wei (2018). "Evaluating the robustness of neural networks: An extreme value theory approach". arXiv:1801.10578 [stat.ML].
- ↑ "A CLEVER Way to Resist Adversarial Attack". IBM. May 2, 2018. Retrieved September 12, 2018.
- ↑ "Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach". 10 February 2022.
- ↑ "Fool the Bank - IBM Research".
- ↑ "Narendra Nath Joshi".
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