45 citations · 62 across the 8 of their papers we have counts for
8 papers
Adversarial Magnification to Deceive Deepfake Detection through Super Resolution
Davide Alessandro Coccomini, Roberto Caldelli, Giuseppe Amato +2
Deepfake technology is rapidly advancing, posing significant challenges to the detection of manipulated media content. Parallel to that, some adversarial attack techniques have bee…
Deepfake Detection without Deepfakes: Generalization via Synthetic Frequency Patterns Injection
Davide Alessandro Coccomini, Roberto Caldelli, Claudio Gennaro +3
Deepfake detectors are typically trained on large sets of pristine and generated images, resulting in limited generalization capacity; they excel at identifying deepfakes created t…
Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey
Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro +1
Recently emerged technologies based on Deep Learning (DL) achieved outstanding results on a variety of tasks in the field of Artificial Intelligence (AI). However, these encounter…
Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey
Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro +1
For a long time, biology and neuroscience fields have been a great source of inspiration for computer scientists, towards the development of Artificial Intelligence (AI) technologi…
Detecting Images Generated by Diffusers
Davide Alessandro Coccomini, Andrea Esuli, Fabrizio Falchi +2
This paper explores the task of detecting images generated by text-to-image diffusion models. To evaluate this, we consider images generated from captions in the MSCOCO and Wikimed…
A Spatio-Temporal Attentive Network for Video-Based Crowd Counting
Marco Avvenuti, Marco Bongiovanni, Luca Ciampi +3
Automatic people counting from images has recently drawn attention for urban monitoring in modern Smart Cities due to the ubiquity of surveillance camera networks. Current computer…