Search Results for author:
Found 21 papers, 8 papers with code
Neural Machine Translation for Fact-checking Temporal Claims
Computational fact-checking aims at supporting the verification process of textual claims by exploiting trustworthy sources.
An Innovative Tool for Uploading/Scraping Large Image Datasets on Social Networks
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.
Not with my name! Inferring artists' names of input strings employed by Diffusion Models
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.
Boosting multiple sclerosis lesion segmentation through attention mechanism
Magnetic resonance imaging is a fundamental tool to reach a diagnosis of multiple sclerosis and monitoring its progression.
Early detection of hip periprosthetic joint infections through CNN on Computed Tomography images
Early detection of an infection prior to prosthesis removal (e. g., hips, knees or other areas) would provide significant benefits to patients.
UniCT DMI Solution for 3rd COV19D Competition on COVID-19 Detection through attention-based CNN for CT Scan
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.
Level Up the Deepfake Detection: a Method to Effectively Discriminate Images Generated by GAN Architectures and Diffusion Models
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.
CNN-based first quantization estimation of double compressed JPEG images
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.
Is Synthetic Voice Detection Research Going Into the Right Direction?
Indeed, this evolution enabled the construction of effective frameworks and solutions able to be used in investigative and forensics scenarios for detection of fakes and, in general, manipulations in multimedia contents.
Ranked #1 on
fake voice detection
on ASVspoof 2019 - LA
Introducing AV1 Codec-Level Video Steganography
Steganography is the ancient art of concealing messages into data.
On the Exploitation of Deepfake Model Recognition
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.
Deepfake Style Transfer Mixture: a First Forensic Ballistics Study on Synthetic Images
Most recent style-transfer techniques based on generative architectures are able to obtain synthetic multimedia contents, or commonly called deepfakes, with almost no artifacts.
Fighting deepfakes by detecting GAN DCT anomalies
To properly contrast the Deepfake phenomenon the need to design new Deepfake detection algorithms arises; the misuse of this formidable A. I.
Computational data analysis for first quantization estimation on JPEG double compressed images
Multimedia Forensics experts work consists in providing answers about integrity of a specific media content and from where it comes from.
In-Depth DCT Coefficient Distribution Analysis for First Quantization Estimation
The exploitation of traces in JPEG double compressed images is of utter importance for investigations.
Fighting Deepfake by Exposing the Convolutional Traces on Images
In this paper, a new approach aimed to extract a Deepfake fingerprint from images is proposed.
Single architecture and multiple task deep neural network for altered fingerprint analysis
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.
Animated GIF optimization by adaptive color local table management
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.
Preliminary Forensics Analysis of DeepFake Images
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.
DeepFake Detection by Analyzing Convolutional Traces
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).
A Fast Palette Reordering Technique Based on GPU-Optimized Genetic Algorithms
Color re-indexing is one of main approaches for improving the loss-less compression of color indexed images.
