Deep neural networks are vulnerable to adversarial examples, i.e.,
caref...
Machine-learning algorithms trained on features extracted from static co...
We present secml, an open-source Python library for secure and explainab...
Despite the impressive performances reported by deep neural networks in
...
Transferability captures the ability of an attack against a machine-lear...
Machine-learning models have been recently used for detecting malicious
...
In several applications, input samples are more naturally represented in...
Deep neural networks have been widely adopted in recent years, exhibitin...