154 citations · 154 across the 6 of their papers we have counts for
9 papers · 1 filter
Not with my name! Inferring artists' names of input strings employed by Diffusion Models
Roberto Leotta, Oliver Giudice, Luca Guarnera +1
Diffusion Models (DM) are highly effective at generating realistic, high-quality images. However, these models lack creativity and merely compose outputs based on their training da…
Level Up the Deepfake Detection: a Method to Effectively Discriminate Images Generated by GAN Architectures and Diffusion Models
Luca Guarnera, Oliver Giudice, Sebastiano Battiato
The image deepfake detection task has been greatly addressed by the scientific community to discriminate real images from those generated by Artificial Intelligence (AI) models: a…
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…
Fighting deepfakes by detecting GAN DCT anomalies
Oliver Giudice, Luca Guarnera, Sebastiano Battiato
To properly contrast the Deepfake phenomenon the need to design new Deepfake detection algorithms arises; the misuse of this formidable A.I. technology brings serious consequences…
Fighting Deepfake by Exposing the Convolutional Traces on Images
Luca Guarnera, Oliver Giudice, Sebastiano Battiato
Advances in Artificial Intelligence and Image Processing are changing the way people interacts with digital images and video. Widespread mobile apps like FACEAPP make use of the mo…
Single architecture and multiple task deep neural network for altered fingerprint analysis
Oliver Giudice, Mattia Litrico, Sebastiano Battiato
Fingerprints are one of the most copious evidence in a crime scene and, for this reason, they are frequently used by law enforcement for identification of individuals. But fingerpr…