PRALab

android-detectors

End-to-end implementation of ML-based Android malware detectors.

Fast-Minimum-Norm-FMN-Attack

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

HO-FMN

ImageNet-Patch

IndicatorsOfAttackFailure

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

secml

A Python library for Secure and Explainable Machine Learning

secml-torch

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

secml-zoo

SecML models and databases zoo.

secml_malware

Create adversarial attacks against machine learning Windows malware detectors

toucanstrike

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

pralab/secml_malware

Create adversarial attacks against machine learning Windows malware detectors

pralab/secml

A Python library for Secure and Explainable Machine Learning

pralab/ImageNet-Patch

pralab/Fast-Minimum-Norm-FMN-Attack

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

pralab/secml-torch

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

pralab/IndicatorsOfAttackFailure

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

pralab/toucanstrike

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

pralab/HO-FMN

pralab/android-detectors

End-to-end implementation of ML-based Android malware detectors.

pralab/modsec-learn

Experiments for paper ModSec-Learn: Boosting ModSecurity with Machine Learning

pralab/elsa-cybersecurity

Official repository for the Cybersecurity Use Case of ELSA EU Project

pralab/secml-zoo

SecML models and databases zoo.

pralab/http-traffic-dataset

Dataset used for paper: Boosting ModSecurity with Machine Learning

pralab/mlsec

MLSec Laboratory

pralab/pandavision

Security evaluation module with onnx, pytorch, and SecML.

pralab/counterfit

a CLI that provides a generic automation layer for assessing the security of ML models