In this work, we investigate the effectiveness of deep-learning-based
pa...
Decentralized Learning (DL) is a peer–to–peer learning approach that all...
We develop the first universal password model – a password model that, o...
In this work, we carry out the first, in-depth, privacy analysis of
Dece...
Federated learning allows a set of users to train a deep neural network ...
We investigate the security of split learning – a novel collaborative
ma...
Password security hinges on an accurate understanding of the techniques
...
Probabilistic password strength meters have been proved to be the most
a...
Learning useful representations from unstructured data is one of the cor...
Deep generative models are being increasingly used in a wide variety of
...