PRALab

Create adversarial attacks against machine learning Windows malware detectors

pralab

A Python library for Secure and Explainable Machine Learning

pralab

pralab

Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples

pralab

Foolbox implementation for NeurIPS 2021 Paper: "Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints".

pralab

SecML-Torch: A Library for Robustness Evaluation of Deep Learning Models

pralab

Command line tool for launching attacks against Machine Learning Malware detectors.

pralab