227 citations · 730 across the 33 of their papers we have counts for
39 papers
All-for-One and One-For-All: Deep learning-based feature fusion for Synthetic Speech Detection
Daniele Mari, Davide Salvi, Paolo Bestagini +1
Recent advances in deep learning and computer vision have made the synthesis and counterfeiting of multimedia content more accessible than ever, leading to possible threats and dan…
Super-Resolution of BVOC Emission Maps Via Domain Adaptation
Antonio Giganti, Sara Mandelli, Paolo Bestagini +2
Enhancing the resolution of Biogenic Volatile Organic Compound (BVOC) emission maps is a critical task in remote sensing. Recently, some Super-Resolution (SR) methods based on Deep…
Multi-BVOC Super-Resolution Exploiting Compounds Inter-Connection
Antonio Giganti, Sara Mandelli, Paolo Bestagini +2
Biogenic Volatile Organic Compounds (BVOCs) emitted from the terrestrial ecosystem into the Earth's atmosphere are an important component of atmospheric chemistry. Due to the scarc…
DSVAE: Interpretable Disentangled Representation for Synthetic Speech Detection
Amit Kumar Singh Yadav, Kratika Bhagtani, Ziyue Xiang +3
Tools to generate high quality synthetic speech signal that is perceptually indistinguishable from speech recorded from human speakers are easily available. Several approaches have…
Super-Resolution of BVOC Maps by Adapting Deep Learning Methods
Antonio Giganti, Sara Mandelli, Paolo Bestagini +2
Biogenic Volatile Organic Compounds (BVOCs) play a critical role in biosphere-atmosphere interactions, being a key factor in the physical and chemical properties of the atmosphere…
Combining Automatic Speaker Verification and Prosody Analysis for Synthetic Speech Detection
Luigi Attorresi, Davide Salvi, Clara Borrelli +2
The rapid spread of media content synthesis technology and the potentially damaging impact of audio and video deepfakes on people's lives have raised the need to implement systems…
H4VDM: H.264 Video Device Matching
Ziyue Xiang, Paolo Bestagini, Stefano Tubaro +1
Methods that can determine if two given video sequences are captured by the same device (e.g., mobile telephone or digital camera) can be used in many forensics tasks. In this pape…
An Overview on the Generation and Detection of Synthetic and Manipulated Satellite Images
Lydia Abady, Edoardo Daniele Cannas, Paolo Bestagini +3
Due to the reduction of technological costs and the increase of satellites launches, satellite images are becoming more popular and easier to obtain. Besides serving benevolent pur…
TIMIT-TTS: a Text-to-Speech Dataset for Multimodal Synthetic Media Detection
Davide Salvi, Brian Hosler, Paolo Bestagini +2
With the rapid development of deep learning techniques, the generation and counterfeiting of multimedia material are becoming increasingly straightforward to perform. At the same t…
Speaker-Independent Microphone Identification in Noisy Conditions
Antonio Giganti, Luca Cuccovillo, Paolo Bestagini +2
This work proposes a method for source device identification from speech recordings that applies neural-network-based denoising, to mitigate the impact of counter-forensics attacks…
Splicing Detection and Localization In Satellite Imagery Using Conditional GANs
Emily R. Bartusiak, Sri Kalyan Yarlagadda, David Güera +4
The widespread availability of image editing tools and improvements in image processing techniques allow image manipulation to be very easy. Oftentimes, easy-to-use yet sophisticat…
Forensic Analysis and Localization of Multiply Compressed MP3 Audio Using Transformers
Ziyue Xiang, Paolo Bestagini, Stefano Tubaro +1
Audio signals are often stored and transmitted in compressed formats. Among the many available audio compression schemes, MPEG-1 Audio Layer III (MP3) is very popular and widely us…
Spectral Denoising for Microphone Classification
L. Cuccovillo, A. Giganti, P. Bestagini +2
In this paper, we propose the use of denoising for microphone classification, to enable its usage for several key application domains that involve noisy conditions. We describe the…
Detecting GAN-generated Images by Orthogonal Training of Multiple CNNs
Sara Mandelli, Nicolò Bonettini, Paolo Bestagini +1
In the last few years, we have witnessed the rise of a series of deep learning methods to generate synthetic images that look extremely realistic. These techniques prove useful in…
Amplitude SAR Imagery Splicing Localization
Edoardo Daniele Cannas, Nicolò Bonettini, Sara Mandelli +2
Synthetic Aperture Radar (SAR) images are a valuable asset for a wide variety of tasks. In the last few years, many websites have been offering them for free in the form of easy to…
Forensic Analysis of Synthetically Generated Western Blot Images
Sara Mandelli, Davide Cozzolino, Edoardo D. Cannas +8
The widespread diffusion of synthetically generated content is a serious threat that needs urgent countermeasures. As a matter of fact, the generation of synthetic content is not r…
What's wrong with this video? Comparing Explainers for Deepfake Detection
Samuele Pino, Mark James Carman, Paolo Bestagini
Deepfakes are computer manipulated videos where the face of an individual has been replaced with that of another. Software for creating such forgeries is easy to use and ever more…
Forensic Analysis of Video Files Using Metadata
Ziyue Xiang, János Horváth, Sriram Baireddy +3
The unprecedented ease and ability to manipulate video content has led to a rapid spread of manipulated media. The availability of video editing tools greatly increased in recent y…
Anti-Aliasing Add-On for Deep Prior Seismic Data Interpolation
Francesco Picetti, Vincenzo Lipari, Paolo Bestagini +1
Data interpolation is a fundamental step in any seismic processing workflow. Among machine learning techniques recently proposed to solve data interpolation as an inverse problem,…
DIPPAS: A Deep Image Prior PRNU Anonymization Scheme
Francesco Picetti, Sara Mandelli, Paolo Bestagini +2
Source device identification is an important topic in image forensics since it allows to trace back the origin of an image. Its forensics counter-part is source device anonymizatio…
Training Strategies and Data Augmentations in CNN-based DeepFake Video Detection
Luca Bondi, Edoardo Daniele Cannas, Paolo Bestagini +1
The fast and continuous growth in number and quality of deepfake videos calls for the development of reliable detection systems capable of automatically warning users on social med…
Training CNNs in Presence of JPEG Compression: Multimedia Forensics vs Computer Vision
Sara Mandelli, Nicolò Bonettini, Paolo Bestagini +1
Convolutional Neural Networks (CNNs) have proved very accurate in multiple computer vision image classification tasks that required visual inspection in the past (e.g., object reco…
FOCAL: A Forgery Localization Framework based on Video Coding Self-Consistency
Sebastiano Verde, Paolo Bestagini, Simone Milani +2
Forgery operations on video contents are nowadays within the reach of anyone, thanks to the availability of powerful and user-friendly editing software. Integrity verification and…
A Modified Fourier-Mellin Approach for Source Device Identification on Stabilized Videos
Sara Mandelli, Fabrizio Argenti, Paolo Bestagini +3
To decide whether a digital video has been captured by a given device, multimedia forensic tools usually exploit characteristic noise traces left by the camera sensor on the acquir…