adversarial-machine-learning topic
TextAttack
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
graph-adversarial-learning-literature
A curated list of adversarial attacks and defenses papers on graph-structured data.
free_adv_train
Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.
attack-and-defense-methods
A curated list of papers on adversarial machine learning (adversarial examples and defense methods).
msg-gan-v1
MSG-GAN: Multi-Scale Gradients GAN (Architecture inspired from ProGAN but doesn't use layer-wise growing)
WAF-A-MoLE
A guided mutation-based fuzzer for ML-based Web Application Firewalls
backdoors101
Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.
GraphGallery
GraphGallery is a gallery for benchmarking Graph Neural Networks, From InplusLab.
auto_LiRPA
auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs
robust-physical-attack
Physical adversarial attack for fooling the Faster R-CNN object detector