CEAR
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Related Articles from SNS
CEAR: Certified Ensemble Adversarial Robustness in DNNs
arXiv:2606.01437v1 Announce Type: new Abstract: Deep Neural Networks (DNNs) are highly susceptible to adversarial perturbations, leading to extensive research on robustness for safety-critical applications. State-of-the-art empirical defense mechanisms improve the robustness of DNNs through the training phase, but still struggle against adaptive white-box attacks.