A Python library for Secure and Explainable Machine Learning

Material de la charla "The bad guys in AI - atacando sistemas de machine learning"

Official code repository for our publication 'Hardening Deep Neural Networks via Adversarial Model Cascades'

Network Intrusion Detection in an Adversarial setting

Exploring compression based defenses against adversarial attacks.

Tensorflow| More Cleverhans base-models

This project evaluates the robustness of image classification models against adversarial attacks using two key metrics: Adversarial Distance and CLEVER. The study employs variants of the WideResNet model, including a standard and a corruption-trained robust model, trained on the CIFAR-10 dataset. Key insights reveal that the CLEVER Score serves as