Code for "On Adaptive Attacks to Adversarial Example Defenses"
Targeted Adversarial Examples for Black Box Audio Systems
Code to reproduce and break the "Efficient Defenses" paper
🗣️ Tool to generate adversarial text examples and test machine learning models against them
Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defe...
Research on adversarial attacks and defenses for deep neural network 3D point cloud classifiers l...
Code corresponding to the paper "Adversarial Examples are not Easily Detected..."
New distributional and shape attacks on neural networks that process 3D point cloud data.
NIPS 2017 Adversarial Competition in PyTorch
Robust evasion attacks against neural network to find adversarial examples
A PyTorch baseline defense example for the NIPS 2017 adversarial competition
A PyTorch baseline attack example for the NIPS 2017 adversarial competition
Paper Collection of Adversarial Machine Learning
Contains materials for workshops pertaining to adversarial robustness in deep learning.
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model trainin...
A powerful white-box adversarial attack that exploits knowledge about the geometry of neural netw...