154 citations · 780 across the 51 of their papers we have counts for
11 papers · 1 filter
Assessing Information Quality in IoT Forensics: Theoretical Framework and Model Implementation
Federico Costantini, Fausto Galvan, Marco Alvise de Stefani +1
IoT technologies pose serious challenges to digital Forensics. The acquisition of digital evidence is hindered by the number and extreme variety of IoT items, often lacking physica…
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…
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…
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…
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…
Pollen13K: A Large Scale Microscope Pollen Grain Image Dataset
Sebastiano Battiato, Alessandro Ortis, Francesca Trenta +3
Pollen grain classification has a remarkable role in many fields from medicine to biology and agronomy. Indeed, automatic pollen grain classification is an important task for all r…
SceneAdapt: Scene-based domain adaptation for semantic segmentation using adversarial learning
Daniele Di Mauro, Antonino Furnari, Giuseppe Patanè +2
Semantic segmentation methods have achieved outstanding performance thanks to deep learning. Nevertheless, when such algorithms are deployed to new contexts not seen during trainin…
Survey on Visual Sentiment Analysis
Alessandro Ortis, Giovanni Maria Farinella, Sebastiano Battiato
Visual Sentiment Analysis aims to understand how images affect people, in terms of evoked emotions. Although this field is rather new, a broad range of techniques have been develop…
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…
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…
EGO-CH: Dataset and Fundamental Tasks for Visitors BehavioralUnderstanding using Egocentric Vision
Francesco Ragusa, Antonino Furnari, Sebastiano Battiato +2
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…