Paolo Bestagini

research

∙ 07/28/2023

All-for-One and One-For-All: Deep learning-based feature fusion for Synthetic Speech Detection

Recent advances in deep learning and computer vision have made the synth...

0 Daniele Mari, et al. ∙

research

∙ 06/22/2023

Super-Resolution of BVOC Emission Maps Via Domain Adaptation

Enhancing the resolution of Biogenic Volatile Organic Compound (BVOC) em...

0 Antonio Giganti, et al. ∙

research

∙ 05/23/2023

Multi-BVOC Super-Resolution Exploiting Compounds Inter-Connection

Biogenic Volatile Organic Compounds (BVOCs) emitted from the terrestrial...

0 Antonio Giganti, et al. ∙

research

∙ 04/06/2023

DSVAE: Interpretable Disentangled Representation for Synthetic Speech Detection

Tools to generate high quality synthetic speech signal that is perceptua...

0 Amit Kumar Singh Yadav, et al. ∙

research

∙ 02/15/2023

Enhancing Biogenic Emission Maps Using Deep Learning

Biogenic Volatile Organic Compounds (BVOCs) play a critical role in bios...

0 Antonio Giganti, et al. ∙

research

∙ 10/31/2022

Combining Automatic Speaker Verification and Prosody Analysis for Synthetic Speech Detection

The rapid spread of media content synthesis technology and the potential...

0 Luigi Attorresi, et al. ∙

research

∙ 10/20/2022

H4VDM: H.264 Video Device Matching

Methods that can determine if two given video sequences are captured by ...

0 Ziyue Xiang, et al. ∙

research

∙ 09/19/2022

An Overview on the Generation and Detection of Synthetic and Manipulated Satellite Images

Due to the reduction of technological costs and the increase of satellit...

0 Lydia Abady, et al. ∙

research

∙ 09/16/2022

TIMIT-TTS: a Text-to-Speech Dataset for Multimodal Synthetic Media Detection

With the rapid development of deep learning techniques, the generation a...

0 Davide Salvi, et al. ∙

research

∙ 06/23/2022

Speaker-Independent Microphone Identification in Noisy Conditions

This work proposes a method for source device identification from speech...

0 Antonio Giganti, et al. ∙

research

∙ 05/03/2022

Splicing Detection and Localization In Satellite Imagery Using Conditional GANs

The widespread availability of image editing tools and improvements in i...

0 Emily R. Bartusiak, et al. ∙

research

∙ 03/30/2022

Forensic Analysis and Localization of Multiply Compressed MP3 Audio Using Transformers

Audio signals are often stored and transmitted in compressed formats. Am...

0 Ziyue Xiang, et al. ∙

research

∙ 03/04/2022

Detecting GAN-generated Images by Orthogonal Training of Multiple CNNs

In the last few years, we have witnessed the rise of a series of deep le...

0 Sara Mandelli, et al. ∙

research

∙ 01/07/2022

Amplitude SAR Imagery Splicing Localization

Synthetic Aperture Radar (SAR) images are a valuable asset for a wide va...

1 Edoardo Daniele Cannas, 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

∙ 05/13/2021

Forensic Analysis of Video Files Using Metadata

The unprecedented ease and ability to manipulate video content has led t...

0 Ziyue Xiang, et al. ∙

research

∙ 05/12/2021

What's wrong with this video? Comparing Explainers for Deepfake Detection

Deepfakes are computer manipulated videos where the face of an individua...

9 Samuele Pino, et al. ∙

research

∙ 01/27/2021

Anti-Aliasing Add-On for Deep Prior Seismic Data Interpolation

Data interpolation is a fundamental step in any seismic processing workf...

0 Francesco Picetti, et al. ∙

research

∙ 12/07/2020

DIPPAS: A Deep Image Prior PRNU Anonymization Scheme

Source device identification is an important topic in image forensics si...

0 Francesco Picetti, et al. ∙

research

∙ 11/16/2020

Training Strategies and Data Augmentations in CNN-based DeepFake Video Detection

The fast and continuous growth in number and quality of deepfake videos ...

0 Luca Bondi, et al. ∙

research

∙ 09/25/2020

Training CNNs in Presence of JPEG Compression: Multimedia Forensics vs Computer Vision

Convolutional Neural Networks (CNNs) have proved very accurate in multip...

0 Sara Mandelli, et al. ∙

research

∙ 08/24/2020

FOCAL: A Forgery Localization Framework based on Video Coding Self-Consistency

Forgery operations on video contents are nowadays within the reach of an...

5 Sebastiano Verde, et al. ∙

research

∙ 05/20/2020

A Modified Fourier-Mellin Approach for Source Device Identification on Stabilized Videos

To decide whether a digital video has been captured by a given device, m...

0 Sara Mandelli, et al. ∙

research

∙ 04/16/2020

On the use of Benford's law to detect GAN-generated images

The advent of Generative Adversarial Network (GAN) architectures has giv...

0 Nicolò Bonettini, et al. ∙

research

∙ 04/16/2020

Video Face Manipulation Detection Through Ensemble of CNNs

In the last few years, several techniques for facial manipulation in vid...

0 Nicolò Bonettini, 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

∙ 06/20/2019

We Need No Pixels: Video Manipulation Detection Using Stream Descriptors

Manipulating video content is easier than ever. Due to the misuse potent...

0 David Güera, et al. ∙

research

∙ 04/11/2019

An In-Depth Study on Open-Set Camera Model Identification

Camera model identification refers to the problem of linking a picture t...

0 Pedro Ribeiro Mendes Júnior, et al. ∙

research

∙ 01/23/2019

Interpolation and Denoising of Seismic Data using Convolutional Neural Networks

Seismic data processing algorithms greatly benefit, or even require regu...

10 Sara Mandelli, 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

∙ 10/02/2018

Landmine Detection Using Autoencoders on Multi-polarization GPR Volumetric Data

Buried landmines and unexploded remnants of war are a constant threat fo...

0 Paolo Bestagini, et al. ∙

research

∙ 05/06/2018

A Counter-Forensic Method for CNN-Based Camera Model Identification

An increasing number of digital images are being shared and accessed thr...

0 David Güera, et al. ∙

research

∙ 05/04/2018

Reliability Map Estimation For CNN-Based Camera Model Attribution

Among the image forensic issues investigated in the last few years, grea...

0 David Güera, et al. ∙

research

∙ 02/13/2018

Satellite Image Forgery Detection and Localization Using GAN and One-Class Classifier

Current satellite imaging technology enables shooting high-resolution pi...

0 Sri Kalyan Yarlagadda, et al. ∙

research

∙ 08/02/2017

Aligned and Non-Aligned Double JPEG Detection Using Convolutional Neural Networks

Due to the wide diffusion of JPEG coding standard, the image forensic co...

0 Mauro Barni, et al. ∙

research

∙ 03/03/2016

First Steps Toward Camera Model Identification with Convolutional Neural Networks

Detecting the camera model used to shoot a picture enables to solve a wi...

0 Luca Bondi, et al. ∙

Paolo Bestagini

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