Luisa Verdoliva

research

∙ 09/21/2023

Information Forensics and Security: A quarter-century-long journey

Information Forensics and Security (IFS) is an active R D area whose g...

0 Mauro Barni, et al. ∙

research

∙ 09/14/2023

M3Dsynth: A dataset of medical 3D images with AI-generated local manipulations

The ability to detect manipulated visual content is becoming increasingl...

0 Giada Zingarini, et al. ∙

research

∙ 04/13/2023

Intriguing properties of synthetic images: from generative adversarial networks to diffusion models

Detecting fake images is becoming a major goal of computer vision. This ...

0 Riccardo Corvi, et al. ∙

research

∙ 02/26/2023

Learning Pairwise Interaction for Generalizable DeepFake Detection

A fast-paced development of DeepFake generation techniques challenge the...

0 Ying Xu, et al. ∙

research

∙ 12/21/2022

TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization

In this paper we present TruFor, a forensic framework that can be applie...

0 Fabrizio Guillaro, et al. ∙

research

∙ 11/25/2022

Training Data Improvement for Image Forgery Detection using Comprint

Manipulated images are a threat to consumers worldwide, when they are us...

0 Hannes Mareen, et al. ∙

research

∙ 11/01/2022

On the detection of synthetic images generated by diffusion models

Over the past decade, there has been tremendous progress in creating syn...

0 Riccardo Corvi, et al. ∙

research

∙ 10/18/2022

How to Boost Face Recognition with StyleGAN?

State-of-the-art face recognition systems require huge amounts of labele...

1 Artem Sevastopolsky, et al. ∙

research

∙ 10/05/2022

Comprint: Image Forgery Detection and Localization using Compression Fingerprints

Manipulation tools that realistically edit images are widely available, ...

0 Hannes Mareen, et al. ∙

research

∙ 09/28/2022

Deepfake audio detection by speaker verification

Thanks to recent advances in deep learning, sophisticated generation too...

0 Alessandro Pianese, et al. ∙

research

∙ 04/06/2022

Audio-Visual Person-of-Interest DeepFake Detection

Face manipulation technology is advancing very rapidly, and new methods ...

0 Davide Cozzolino, et al. ∙

research

∙ 12/16/2021

Forensic Analysis of Synthetically Generated Scientific Images

The widespread diffusion of synthetically generated content is a serious...

0 Sara Mandelli, et al. ∙

research

∙ 12/10/2020

Deep learning methods for SAR image despeckling: trends and perspectives

Synthetic aperture radar (SAR) images are affected by a spatially-correl...

0 Giulia Fracastoro, et al. ∙

research

∙ 12/04/2020

ID-Reveal: Identity-aware DeepFake Video Detection

State-of-the-art DeepFake forgery detectors are trained in a supervised ...

0 Davide Cozzolino, et al. ∙

research

∙ 10/31/2020

Deep learning in the ultrasound evaluation of neonatal respiratory status

Lung ultrasound imaging is reaching growing interest from the scientific...

0 Michela Gravina, et al. ∙

research

∙ 01/31/2020

CNN-based fast source device identification

Source identification is an important topic in image forensics, since it...

0 Sara Mandelli, et al. ∙

research

∙ 01/18/2020

Media Forensics and DeepFakes: an overview

With the rapid progress of recent years, techniques that generate and ma...

15 Luisa Verdoliva, et al. ∙

research

∙ 01/17/2020

Combining PRNU and noiseprint for robust and efficient device source identification

PRNU-based image processing is a key asset in digital multimedia forensi...

0 Davide Cozzolino, et al. ∙

research

∙ 11/27/2019

SpoC: Spoofing Camera Fingerprints

Thanks to the fast progress in synthetic media generation, creating real...

28 Davide Cozzolino, et al. ∙

research

∙ 10/03/2019

Incremental learning for the detection and classification of GAN-generated images

Current developments in computer vision and deep learning allow to autom...

0 Francesco Marra, et al. ∙

research

∙ 09/15/2019

A Full-Image Full-Resolution End-to-End-Trainable CNN Framework for Image Forgery Detection

Due to limited computational and memory resources, current deep learning...

24 Francesco Marra, et al. ∙

research

∙ 02/20/2019

Perceptual Quality-preserving Black-Box Attack against Deep Learning Image Classifiers

Deep neural networks provide unprecedented performance in all image clas...

0 Diego Gragnaniello, et al. ∙

research

∙ 01/25/2019

FaceForensics++: Learning to Detect Manipulated Facial Images

The rapid progress in synthetic image generation and manipulation has no...

18 Andreas Rössler, et al. ∙

research

∙ 12/31/2018

Do GANs leave artificial fingerprints?

In the last few years, generative adversarial networks (GAN) have shown ...

0 Francesco Marra, et al. ∙

research

∙ 12/06/2018

ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection

Distinguishing fakes from real images is becoming increasingly difficult...

2 Davide Cozzolino, et al. ∙

research

∙ 11/28/2018

Guided patch-wise nonlocal SAR despeckling

We propose a new method for SAR image despeckling which leverages inform...

2 Sergio Vitale, et al. ∙

research

∙ 11/05/2018

Facing Device Attribution Problem for Stabilized Video Sequences

A problem deeply investigated by multimedia forensics researchers is the...

0 Sara Mandelli, et al. ∙

research

∙ 08/29/2018

Camera-based Image Forgery Localization using Convolutional Neural Networks

Camera fingerprints are precious tools for a number of image forensics t...

0 Davide Cozzolino, et al. ∙

research

∙ 08/25/2018

Analysis of adversarial attacks against CNN-based image forgery detectors

With the ubiquitous diffusion of social networks, images are becoming a ...

0 Diego Gragnaniello, et al. ∙

research

∙ 08/25/2018

Noiseprint: a CNN-based camera model fingerprint

Forensic analyses of digital images rely heavily on the traces of in-cam...

4 Davide Cozzolino, et al. ∙

research

∙ 03/24/2018

FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces

With recent advances in computer vision and graphics, it is now possible...

0 Andreas Rössler, et al. ∙

research

∙ 03/14/2017

A PatchMatch-based Dense-field Algorithm for Video Copy-Move Detection and Localization

We propose a new algorithm for the reliable detection and localization o...

0 Luca D'Amiano, et al. ∙

research

∙ 03/14/2017

Recasting Residual-based Local Descriptors as Convolutional Neural Networks: an Application to Image Forgery Detection

Local descriptors based on the image noise residual have proven extremel...

0 Davide Cozzolino, et al. ∙

research

∙ 09/11/2015

A reliable order-statistics-based approximate nearest neighbor search algorithm

We propose a new algorithm for fast approximate nearest neighbor search ...

0 Luisa Verdoliva, et al. ∙

research

∙ 08/01/2015

Land Use Classification in Remote Sensing Images by Convolutional Neural Networks

We explore the use of convolutional neural networks for the semantic cla...

0 Marco Castelluccio, et al. ∙

research

∙ 11/27/2013

Image forgery detection based on the fusion of machine learning and block-matching methods

Dense local descriptors and machine learning have been used with success...

0 Davide Cozzolino, et al. ∙

research

∙ 11/27/2013

A novel framework for image forgery localization

Image forgery localization is a very active and open research field for ...

0 Davide Cozzolino, et al. ∙

Luisa Verdoliva

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