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Pruning in the Face of Adversaries
Available research on the impact of neural network pruning on the adversarial robustness is fragmentary and often does not adhere to established principles of robustness evaluation.
When Should You Defend Your Classifier -- A Game-theoretical Analysis of Countermeasures against Adversarial Examples
Adversarial machine learning, i. e., increasing the robustness of machine learning algorithms against so-called adversarial examples, is now an established field.
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