no code implementations • 4 May 2024 • Vadim Liventsev, Vivek Kumar, Allmin Pradhap Singh Susaiyah, Zixiu Wu, Ivan Rodin, Asfand Yaar, Simone Baloccu, Marharyta Beraziuk, Sebastiano Battiato, Giovanni Maria Farinella, Aki Härmä, Rim Helaoui, Milan Petkovic, Diego Reforgiato Recupero, Ehud Reiter, Daniele Riboni, Raymond Sterling
The use of machine learning in Healthcare has the potential to improve patient outcomes as well as broaden the reach and affordability of Healthcare.
no code implementations • 24 Apr 2024 • Orazio Pontorno, Luca Guarnera, Sebastiano Battiato
The scientific community is working to develop approaches that can discriminate the origin of digital images (real or AI-generated).
no code implementations • 16 Apr 2024 • Mattia Litrico, Davide Talon, Sebastiano Battiato, Alessio Del Bue, Mario Valerio Giuffrida, Pietro Morerio
We propose a novel approach for SF-OSDA that exploits the granularity of target-private categories by segregating their samples into multiple unknown classes.
no code implementations • 21 Mar 2024 • Claudio Vittorio Ragaglia, Francesco Guarnera, Sebastiano Battiato
In this work, we investigated a novel image resolution classifier that employs DCT statistics with the goal to detect the original resolution of images; in particular the insight was exploited to address the challenge of identifying cropped images.
no code implementations • 3 Feb 2024 • Orazio Pontorno, Luca Guarnera, Sebastiano Battiato
Deepfakes represent one of the toughest challenges in the world of Cybersecurity and Digital Forensics, especially considering the high-quality results obtained with recent generative AI-based solutions.
1 code implementation • 17 Jan 2024 • Giovanni Pasqualino, Luca Guarnera, Alessandro Ortis, Sebastiano Battiato
The progress in generative models, particularly Generative Adversarial Networks (GANs), opened new possibilities for image generation but raised concerns about potential malicious uses, especially in sensitive areas like medical imaging.
no code implementations • 9 Jan 2024 • Eleonora Breci, Luca Guarnera, Sebastiano Battiato
Preliminary results on the proposed datasets show that 90% classification accuracy can be achieved on the first subset (documents written on both paper and pen and later digitized and on tablets) and 96% on the second portion of the data.
no code implementations • 24 Dec 2023 • Mirko Casu, Luca Guarnera, Pasquale Caponnetto, Sebastiano Battiato
This paper provides a comprehensive analysis of cognitive biases in forensics and digital forensics, examining their implications for decision-making processes in these fields.
no code implementations • 1 Nov 2023 • Nicolò Fabio Arceri, Oliver Giudice, Sebastiano Battiato
Nowadays, people can retrieve and share digital information in an increasingly easy and fast fashion through the well-known digital platforms, including sensitive data, inappropriate or illegal content, and, in general, information that might serve as probative evidence in court.
no code implementations • 17 Oct 2023 • Luca Guarnera, Salvatore Manganello, Sebastiano Battiato
A new algorithm for the detection of deepfakes in digital videos is presented.
no code implementations • 17 Oct 2023 • Eleonora Breci, Luca Guarnera, Sebastiano Battiato
Handwritten document analysis is an area of forensic science, with the goal of establishing authorship of documents through examination of inherent characteristics.
no code implementations • 16 Oct 2023 • Massimo Orazio Spata, Sebastiano Battiato, Alessandro Ortis, Francesco Rundo, Michele Calabretta, Carmelo Pino, Angelo Messina
Channel length of power MOSFET is a key parameter involved in the static and dynamic behaviour of the device.
1 code implementation • 25 Jul 2023 • Roberto Leotta, Oliver Giudice, Luca Guarnera, Sebastiano Battiato
In this paper, a preliminary study to infer the probability of use of an artist's name in the input string of a generated image is presented.
1 code implementation • 21 Apr 2023 • Alessia Rondinella, Elena Crispino, Francesco Guarnera, Oliver Giudice, Alessandro Ortis, Giulia Russo, Clara Di Lorenzo, Davide Maimone, Francesco Pappalardo, Sebastiano Battiato
Magnetic resonance imaging is a fundamental tool to reach a diagnosis of multiple sclerosis and monitoring its progression.
no code implementations • 18 Apr 2023 • Francesco Guarnera, Alessia Rondinella, Oliver Giudice, Alessandro Ortis, Sebastiano Battiato, Francesco Rundo, Giorgio Fallica, Francesco Traina, Sabrina Conoci
Early detection of an infection prior to prosthesis removal (e. g., hips, knees or other areas) would provide significant benefits to patients.
no code implementations • 15 Mar 2023 • Alessia Rondinella, Francesco Guarnera, Oliver Giudice, Alessandro Ortis, Francesco Rundo, Sebastiano Battiato
This paper presents our solution for the first challenge of the 3rd Covid-19 competition, which is part of the "AI-enabled Medical Image Analysis Workshop" organized by IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP) 2023.
no code implementations • 1 Mar 2023 • 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 binary classification task.
1 code implementation • Journal of Visual Communication and Image Representation 2022 • Sebastiano Battiato, Oliver Giudice, Francesco Guarnera, Giovanni Puglisi
Multiple JPEG compressions leave artifacts in digital images: residual traces that could be exploited in forensics investigations to recover information about the device employed for acquisition or image editing software.
no code implementations • 27 Jun 2022 • Bruno Casella, Alessio Barbaro Chisari, Sebastiano Battiato, Mario Valerio Giuffrida
The proposed aggregation loss allows our model to learn how trained deep network parameters can be aggregated with an aggregation operator.
1 code implementation • International Conference on Image Analysis and Processing 2022 • Lorenzo Catania, Dario Allegra, Oliver Giudice, Filippo Stanco, Sebastiano Battiato
Steganography is the ancient art of concealing messages into data.
no code implementations • 9 Apr 2022 • Luca Guarnera, Oliver Giudice, Matthias Niessner, Sebastiano Battiato
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 explainability nor of recognition of the involved models.
no code implementations • 18 Mar 2022 • 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.
no code implementations • 22 Jun 2021 • Ronja Möller, Antonino Furnari, Sebastiano Battiato, Aki Härmä, Giovanni Maria Farinella
This paper is concerned with the navigation aspect of a socially-compliant robot and provides a survey of existing solutions for the relevant areas of research as well as an outlook on possible future directions.
no code implementations • 24 Jan 2021 • 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.
1 code implementation • International Conference on Pattern Recognition (ICPR) 2021 • Sebastiano Battiato, Oliver Giudice, Francesco Guarnera, Giovanni Puglisi
Multimedia Forensics experts work consists in providing answers about integrity of a specific media content and from where it comes from.
no code implementations • 7 Aug 2020 • Sebastiano Battiato, Oliver Giudice, Francesco Guarnera, Giovanni Puglisi
The exploitation of traces in JPEG double compressed images is of utter importance for investigations.
no code implementations • 7 Aug 2020 • Luca Guarnera, Oliver Giudice, Sebastiano Battiato
In this paper, a new approach aimed to extract a Deepfake fingerprint from images is proposed.
no code implementations • 9 Jul 2020 • 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.
no code implementations • 9 Jul 2020 • Sebastiano Battiato, Alessandro Ortis, Francesca Trenta, Lorenzo Ascari, Mara Politi, Consolata Siniscalco
Pollen grain classification has a remarkable role in many fields from medicine to biology and agronomy.
no code implementations • 9 Jul 2020 • Oliver Giudice, Dario Allegra, Francesco Guarnera, Filippo Stanco, Sebastiano Battiato
The proposed technique is based on Local Color Table selection and color remapping in order to create optimized animated GIFs while preserving the original format.
no code implementations • 18 Jun 2020 • Daniele Di Mauro, Antonino Furnari, Giuseppe Patanè, Sebastiano Battiato, Giovanni Maria Farinella
We formalize this problem as a domain adaptation task and introduce a novel dataset of urban scenes with the related semantic labels.
1 code implementation • 27 Apr 2020 • Luca Guarnera, Oliver Giudice, Cristina Nastasi, Sebastiano Battiato
One of the most terrifying phenomenon nowadays is the DeepFake: the possibility to automatically replace a person's face in images and videos by exploiting algorithms based on deep learning.
no code implementations • 24 Apr 2020 • Alessandro Ortis, Giovanni Maria Farinella, Sebastiano Battiato
The paper also includes a description of new challenges, the evaluation from the viewpoint of progress toward more sophisticated systems and related practical applications, as well as a summary of the insights resulting from this study.
no code implementations • 22 Apr 2020 • Luca Guarnera, Oliver Giudice, Sebastiano Battiato
The Deepfake phenomenon has become very popular nowadays thanks to the possibility to create incredibly realistic images using deep learning tools, based mainly on ad-hoc Generative Adversarial Networks (GAN).
no code implementations • 3 Feb 2020 • Francesco Ragusa, Antonino Furnari, Sebastiano Battiato, Giovanni Signorello, Giovanni Maria Farinella
Equipping visitors of a cultural site with a wearable device allows to easily collect information about their preferences which can be exploited to improve the fruition of cultural goods with augmented reality.
no code implementations • 10 Apr 2019 • Antonino Furnari, Sebastiano Battiato, Kristen Grauman, Giovanni Maria Farinella
Although First Person Vision systems can sense the environment from the user's perspective, they are generally unable to predict his intentions and goals.
no code implementations • 10 Apr 2019 • Francesco Ragusa, Antonino Furnari, Sebastiano Battiato, Giovanni Signorello, Giovanni Maria Farinella
We consider the problem of localizing visitors in a cultural site from egocentric (first person) images.
1 code implementation • IEEE International Conference on Image Processing (ICIP) 2018 • Oliver Giudice, Dario Allegra, Filippo Stanco, Giorgio Grasso, Sebastiano Battiato
Color re-indexing is one of main approaches for improving the loss-less compression of color indexed images.