activity
20162023
most citedFighting Deepfake by Exposing the Convolutional Traces on Images

154 citations · 468 across the 16 of their papers we have counts for

collaborators

17 papers

cs.DL2023

An Innovative Tool for Uploading/Scraping Large Image Datasets on Social Networks

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, inappropria…

cs.SD2023

Deep Audio Analyzer: a Framework to Industrialize the Research on Audio Forensics

Valerio Francesco Puglisi, Oliver Giudice, Sebastiano Battiato

Deep Audio Analyzer is an open source speech framework that aims to simplify the research and the development process of neural speech processing pipelines, allowing users to conce…

cs.CV2023

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…

eess.IV2023★ 75 cited

Boosting multiple sclerosis lesion segmentation through attention mechanism

Alessia Rondinella, Elena Crispino, Francesco Guarnera +7

Magnetic resonance imaging is a fundamental tool to reach a diagnosis of multiple sclerosis and monitoring its progression. Although several attempts have been made to segment mult…

eess.IV2023★ 6 cited

Early detection of hip periprosthetic joint infections through CNN on Computed Tomography images

Francesco Guarnera, Alessia Rondinella, Oliver Giudice +6

Early detection of an infection prior to prosthesis removal (e.g., hips, knees or other areas) would provide significant benefits to patients. Currently, the detection task is carr…

eess.IV2023

UniCT DMI Solution for 3rd COV19D Competition on COVID-19 Detection through attention-based CNN for CT Scan

Alessia Rondinella, Francesco Guarnera, Oliver Giudice +3

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 Intern…

cs.CV2023★ 4 cited

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…

cs.CV2022

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…

cs.CV2022★ 7 cited

Deepfake Style Transfer Mixture: a First Forensic Ballistics Study on Synthetic Images

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. Re…

cs.CV2021★ 115 cited

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…

cs.CV2020★ 154 cited

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…

eess.IV2020★ 2 cited

In-Depth DCT Coefficient Distribution Analysis for First Quantization Estimation

Sebastiano Battiato, Oliver Giudice, Francesco Guarnera +1

The exploitation of traces in JPEG double compressed images is of utter importance for investigations. Properly exploiting such insights, First Quantization Estimation (FQE) could…

cs.CV2020

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…

cs.CV2020

Animated GIF optimization by adaptive color local table management

Oliver Giudice, Dario Allegra, Francesco Guarnera +2

After thirty years of the GIF file format, today is becoming more popular than ever: being a great way of communication for friends and communities on Instant Messengers and Social…

cs.CV2020

DeepFake Detection by Analyzing Convolutional Traces

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 Generativ…

cs.CV2020★ 39 cited

Preliminary Forensics Analysis of DeepFake Images

Luca Guarnera, Oliver Giudice, Cristina Nastasi +1

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…

cs.MM2016★ 66 cited

A Classification Engine for Image Ballistics of Social Data

Oliver Giudice, Antonino Paratore, Marco Moltisanti +1

Image Forensics has already achieved great results for the source camera identification task on images. Standard approaches for data coming from Social Network Platforms cannot be…