research
∙
06/03/2021
A Little Robustness Goes a Long Way: Leveraging Universal Features for Targeted Transfer Attacks
Adversarial examples for neural network image classifiers are known to b...
share
research
∙
02/09/2021
Adversarial Perturbations Are Not So Weird: Entanglement of Robust and Non-Robust Features in Neural Network Classifiers
Neural networks trained on visual data are well-known to be vulnerable t...
research
∙
09/28/2020
STRATA: Building Robustness with a Simple Method for Generating Black-box Adversarial Attacks for Models of Code
Adversarial examples are imperceptible perturbations in the input to a n...
research
∙
09/03/2020
It's Hard for Neural Networks To Learn the Game of Life
Efforts to improve the learning abilities of neural networks have focuse...
research
∙
11/17/2018
