Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Davide D'Alessandro"'
Autor:
Coccomini, Davide Alessandro, Caldelli, Roberto, Falchi, Fabrizio, Gennaro, Claudio, Amato, Giuseppe
Image manipulation is rapidly evolving, allowing the creation of credible content that can be used to bend reality. Although the results of deepfake detectors are promising, deepfakes can be made even more complicated to detect through adversarial at
Externí odkaz:
http://arxiv.org/abs/2410.04205
Autor:
Coccomini, Davide Alessandro, Caldelli, Roberto, Amato, Giuseppe, Falchi, Fabrizio, Gennaro, Claudio
Deepfake technology is rapidly advancing, posing significant challenges to the detection of manipulated media content. Parallel to that, some adversarial attack techniques have been developed to fool the deepfake detectors and make deepfakes even mor
Externí odkaz:
http://arxiv.org/abs/2407.02670
Autor:
Coccomini, Davide Alessandro, Caldelli, Roberto, Gennaro, Claudio, Fiameni, Giuseppe, Amato, Giuseppe, Falchi, Fabrizio
Deepfake detectors are typically trained on large sets of pristine and generated images, resulting in limited generalization capacity; they excel at identifying deepfakes created through methods encountered during training but struggle with those gen
Externí odkaz:
http://arxiv.org/abs/2403.13479
Autor:
Coccomini, Davide Alessandro, Esuli, Andrea, Falchi, Fabrizio, Gennaro, Claudio, Amato, Giuseppe
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 Wikimedia datasets using two state-of-the-art models: Stable Diffusion and GL
Externí odkaz:
http://arxiv.org/abs/2303.05275
Autor:
Coccomini, Davide Alessandro, Zilos, Giorgos Kordopatis, Amato, Giuseppe, Caldelli, Roberto, Falchi, Fabrizio, Papadopoulos, Symeon, Gennaro, Claudio
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. Previous approaches disregard such informat
Externí odkaz:
http://arxiv.org/abs/2211.10996
Developing methods to predict disastrous natural phenomena is more important than ever, and tornadoes are among the most dangerous ones in nature. Due to the unpredictability of the weather, counteracting them is not an easy task and today it is main
Externí odkaz:
http://arxiv.org/abs/2208.05855
Autor:
Coccomini, Davide Alessandro, Caldelli, Roberto, Falchi, Fabrizio, Gennaro, Claudio, Amato, Giuseppe
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. The continual emergence of new and varied techniques brings with it a fu
Externí odkaz:
http://arxiv.org/abs/2206.13829
With the increased accessibility of web and online encyclopedias, the amount of data to manage is constantly increasing. In Wikipedia, for example, there are millions of pages written in multiple languages. These pages contain images that often lack
Externí odkaz:
http://arxiv.org/abs/2206.10436
Publikováno v:
PeerJ Computer Science, Vol 10, p e2127 (2024)
In recent years, the field of artificial intelligence has witnessed a remarkable surge in the generation of synthetic images, driven by advancements in deep learning techniques. These synthetic images, often created through complex algorithms, closel
Externí odkaz:
https://doaj.org/article/cade7d1a24ae47fab19955fad265cf56
Autor:
Martti Kaasalainen, Ran Zhang, Priya Vashisth, Anahid Ahmadi Birjandi, Mark S’Ari, Davide Alessandro Martella, Mark Isaacs, Ermei Mäkilä, Cong Wang, Evelin Moldenhauer, Paul Clarke, Alessandra Pinna, Xuechen Zhang, Salman A. Mustfa, Valeria Caprettini, Alexander P. Morrell, Eileen Gentleman, Delia S. Brauer, Owen Addison, Xuehui Zhang, Mads Bergholt, Khuloud Al-Jamal, Ana Angelova Volponi, Jarno Salonen, Nicole Hondow, Paul Sharpe, Ciro Chiappini
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract Periodontal disease is a significant burden for oral health, causing progressive and irreversible damage to the support structure of the tooth. This complex structure, the periodontium, is composed of interconnected soft and mineralised tiss
Externí odkaz:
https://doaj.org/article/85c8a505ba6a428da2da5b7913bb668b