2 papers
cs.NE2026
NERO-Net: A Neuroevolutionary Approach for the Design of Adversarially Robust CNNs
Inês Valentim, Nuno Antunes, Nuno Lourenço
Neuroevolution automates the complex task of neural network design but often ignores the inherent adversarial fragility of evolved models which is a barrier to adoption in safety-c…
cs.LG2024
Exploring Layerwise Adversarial Robustness Through the Lens of t-SNE
Inês Valentim, Nuno Antunes, Nuno Lourenço
Adversarial examples, designed to trick Artificial Neural Networks (ANNs) into producing wrong outputs, highlight vulnerabilities in these models. Exploring these weaknesses is cru…