154 citations · 780 across the 51 of their papers we have counts for
3 papers · 1 filter
Transfer Learning via Test-Time Neural Networks Aggregation
Bruno Casella, Alessio Barbaro Chisari, Sebastiano Battiato +1
It has been demonstrated that deep neural networks outperform traditional machine learning. However, deep networks lack generalisability, that is, they will not perform as good as…
On the Exploitation of Deepfake Model Recognition
Luca Guarnera, Oliver Giudice, Matthias Niessner +1
Despite recent advances in Generative Adversarial Networks (GANs), with special focus to the Deepfake phenomenon there is no a clear understanding neither in terms of explainabilit…
Deepfake Style Transfer Mixture: a First Forensic Ballistics Study on Synthetic Images
Luca Guarnera, Oliver Giudice, Sebastiano Battiato
Most recent style-transfer techniques based on generative architectures are able to obtain synthetic multimedia contents, or commonly called deepfakes, with almost no artifacts. Re…