no code implementations • 20 Mar 2024 • Davide Alessandro Coccomini, Roberto Caldelli, Claudio Gennaro, Giuseppe Fiameni, Giuseppe Amato, Fabrizio Falchi
We propose to train detectors using only pristine images injecting in part of them crafted frequency patterns, simulating the effects of various deepfake generation techniques without being specific to any.
1 code implementation • 9 Mar 2023 • Davide Alessandro Coccomini, Andrea Esuli, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
This paper explores the task of detecting images generated by text-to-image diffusion models.
1 code implementation • 20 Nov 2022 • Davide Alessandro Coccomini, Giorgos Kordopatis Zilos, Giuseppe Amato, Roberto Caldelli, Fabrizio Falchi, Symeon Papadopoulos, Claudio Gennaro
In this paper, we introduce MINTIME, a video deepfake detection approach that captures spatial and temporal anomalies and handles instances of multiple people in the same video and variations in face sizes.
Ranked #1 on Classification on ForgeryNet
no code implementations • 11 Aug 2022 • Davide Alessandro Coccomini, Giuliano Zara
Developing methods to predict disastrous natural phenomena is more important than ever, and tornadoes are among the most dangerous ones in nature.
2 code implementations • 28 Jun 2022 • Davide Alessandro Coccomini, Roberto Caldelli, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
Deepfake Generation Techniques are evolving at a rapid pace, making it possible to create realistic manipulated images and videos and endangering the serenity of modern society.
2 code implementations • 21 Jun 2022 • Nicola Messina, Davide Alessandro Coccomini, Andrea Esuli, Fabrizio Falchi
With the increased accessibility of web and online encyclopedias, the amount of data to manage is constantly increasing.