Deep neural network based face recognition models have been shown to be
...
This paper describes a systematic approach towards building a new family...
Deep neural networks (DNNs) are vulnerable to "backdoor" poisoning attac...
Generative adversarial networks (GANs) are often billed as "universal
di...
Central to the design of many robot systems and their controllers is sol...
Adversarial attacks against machine learning models are a rather hefty
o...
Several recent papers have discussed utilizing Lipschitz constants to li...