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What is: DropAttack?

SourceDropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

DropAttack is an adversarial training method that adds intentionally worst-case adversarial perturbations to both the input and hidden layers in different dimensions and minimizes the adversarial risks generated by each layer.