The instability of Generative Adversarial Network (GAN) training has
fre...
Adversarial training and its variants have become de facto standards for...
Recent research has made the surprising finding that state-of-the-art de...
Adversarial testing methods based on Projected Gradient Descent (PGD) ar...
Adversarial training is an effective methodology for training deep neura...
Prior work on neural network verification has focused on specifications ...
Recent works have shown that it is possible to train models that are
ver...