Research on adversarial attacks and defenses for deep neural network 3D point cloud classifiers like PointNet and PointNet++.
Shows how to create basic image adversaries, and train adversarially robust image classifiers (to...
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Contains materials for workshops pertaining to adversarial robustness in deep learning.
Training neural models with structured signals.
Minimal implementation of Denoised Smoothing (https://arxiv.org/abs/2003.01908) in TensorFlow.
Keras implementation of "One pixel attack for fooling deep neural networks" using differential ev...
New distributional and shape attacks on neural networks that process 3D point cloud data.