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