Giulia Boato
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View article: Bridging the Gap: A Framework for Real-World Video Deepfake Detection via Social Network Compression Emulation
Bridging the Gap: A Framework for Real-World Video Deepfake Detection via Social Network Compression Emulation Open
The growing presence of AI-generated videos on social networks poses new challenges for deepfake detection, as detectors trained under controlled conditions often fail to generalize to real-world scenarios. A key factor behind this gap is …
View article: Deepfake Media Forensics: Status and Future Challenges
Deepfake Media Forensics: Status and Future Challenges Open
The rise of AI-generated synthetic media, or deepfakes, has introduced unprecedented opportunities and challenges across various fields, including entertainment, cybersecurity, and digital communication. Using advanced frameworks such as G…
View article: Deepfake Media Forensics: State of the Art and Challenges Ahead
Deepfake Media Forensics: State of the Art and Challenges Ahead Open
AI-generated synthetic media, also called Deepfakes, have significantly influenced so many domains, from entertainment to cybersecurity. Generative Adversarial Networks (GANs) and Diffusion Models (DMs) are the main frameworks used to crea…
View article: Adversarial mimicry attacks against image splicing forensics: An approach for jointly hiding manipulations and creating false detections
Adversarial mimicry attacks against image splicing forensics: An approach for jointly hiding manipulations and creating false detections Open
The term “mimicry attack” has been coined in computer security and used in adversarial machine learning: an attacker observes what a machine-learning system has learned and adjusts the malicious input so that it mimics a benign input. In t…
View article: Toward Open-World Multimedia Forensics Through Media Signature Encoding
Toward Open-World Multimedia Forensics Through Media Signature Encoding Open
Countering image and video manipulations is getting more and more relevant in several fields such as investigation, intelligence and forensics. Multimedia forensics researchers keep developing new tools and updating available detectors to …
View article: Identifying Synthetic Faces through GAN Inversion and Biometric Traits Analysis
Identifying Synthetic Faces through GAN Inversion and Biometric Traits Analysis Open
In the field of image forensics, notable attention has been recently paid toward the detection of synthetic contents created through Generative Adversarial Networks (GANs), especially face images. This work explores a classification method…
View article: Multi-Clue Reconstruction of Sharing Chains for Social Media Images
Multi-Clue Reconstruction of Sharing Chains for Social Media Images Open
The amount of multimedia content shared everyday, combined with the level of realism reached by recent fake-generating technologies, threatens to impair the trustworthiness of online information sources. The process of uploading and sharin…
View article: Gpu-Accelerated Sift-Aided Source Identification of Stabilized Videos
Gpu-Accelerated Sift-Aided Source Identification of Stabilized Videos Open
Video stabilization is an in-camera processing commonly applied by modern acquisition devices. While significantly improving the visual quality of the resulting videos, it has been shown that such operation typically hinders the forensic a…
View article: TrueFace: a Dataset for the Detection of Synthetic Face Images from Social Networks
TrueFace: a Dataset for the Detection of Synthetic Face Images from Social Networks Open
TrueFace is a first dataset of social media processed real and synthetic faces, obtained by the successful StyleGAN generative models, and shared on Facebook, Twitter and Telegram. Images have historically been a universal and cross-cultur…
View article: TrueFace: a Dataset for the Detection of Synthetic Face Images from Social Networks
TrueFace: a Dataset for the Detection of Synthetic Face Images from Social Networks Open
TrueFace is a first dataset of social media processed real and synthetic faces, obtained by the successful StyleGAN generative models, and shared on Facebook, Twitter and Telegram. Images have historically been a universal and cross-cultur…
View article: GPU-accelerated SIFT-aided source identification of stabilized videos
GPU-accelerated SIFT-aided source identification of stabilized videos Open
Video stabilization is an in-camera processing commonly applied by modern acquisition devices. While significantly improving the visual quality of the resulting videos, it has been shown that such operation typically hinders the forensic a…
View article: More Real Than Real: A Study on Human Visual Perception of Synthetic Faces [Applications Corner]
More Real Than Real: A Study on Human Visual Perception of Synthetic Faces [Applications Corner] Open
Deep fakes became extremely popular in the last years, also thanks to their\nincreasing realism. Therefore, there is the need to measures human's ability to\ndistinguish between real and synthetic face images when confronted with\ncutting-…
View article: Detection of Manipulated Face Videos over Social Networks: A Large-Scale Study
Detection of Manipulated Face Videos over Social Networks: A Large-Scale Study Open
The detection of manipulated videos represents a highly relevant problem in multimedia forensics, which has been widely investigated in the last years. However, a common trait of published studies is the fact that the forensic analysis is …
View article: Multi-clue reconstruction of sharing chains for social media images
Multi-clue reconstruction of sharing chains for social media images Open
The amount of multimedia content shared everyday, combined with the level of realism reached by recent fake-generating technologies, threatens to impair the trustworthiness of online information sources. The process of uploading and sharin…
View article: More Real than Real: A Study on Human Visual Perception of Synthetic Faces
More Real than Real: A Study on Human Visual Perception of Synthetic Faces Open
Deep fakes became extremely popular in the last years, also thanks to their increasing realism. Therefore, there is the need to measures human's ability to distinguish between real and synthetic face images when confronted with cutting-edg…
View article: Dynamic texture analysis for detecting fake faces in video sequences
Dynamic texture analysis for detecting fake faces in video sequences Open
The creation of manipulated multimedia content involving human characters has reached in the last years unprecedented realism, calling for automated techniques to expose synthetically generated faces in images and videos. This work explore…
View article: Morphological Filter Detector for Image Forensics Applications
Morphological Filter Detector for Image Forensics Applications Open
In this paper, the effect of various advancements in turbocharging technology on diesel engine power, fuel consumption, thermal efficiency, volumetric efficiency and emissions are reviewed and analyzed.Turbochargers are used throughout the…
View article: Incremental learning for the detection and classification of GAN-generated images
Incremental learning for the detection and classification of GAN-generated images Open
Current developments in computer vision and deep learning allow to automatically generate hyper-realistic images, hardly distinguishable from real ones. In particular, human face generation achieved a stunning level of realism, opening new…
View article: Hue Modification Localization By Pair Matching
Hue Modification Localization By Pair Matching Open
Hue modification is the adjustment of hue property on color images. Conducting hue modification on an image is trivial, and it can be abused to falsify opinions of viewers. Since shapes, edges or textural information remains unchanged afte…
View article: Visual and Textual Analysis for Image Trustworthiness Assessment within Online News
Visual and Textual Analysis for Image Trustworthiness Assessment within Online News Open
The majority of news published online presents one or more images or videos, which make the news more easily consumed and therefore more attractive to huge audiences. As a consequence, news with catchy multimedia content can be spread and …
View article: Accurate and Scalable Image Clustering Based on Sparse Representation of Camera Fingerprint
Accurate and Scalable Image Clustering Based on Sparse Representation of Camera Fingerprint Open
Clustering images according to their acquisition devices is a well-known problem in multimedia forensics, which is typically faced by means of camera sensor pattern noise (SPN). Such an issue is challenging since SPN is a noise-like signal…
View article: Accurate and Scalable Image Clustering Based On Sparse Representation of Camera Fingerprint
Accurate and Scalable Image Clustering Based On Sparse Representation of Camera Fingerprint Open
Clustering images according to their acquisition devices is a well-known problem in multimedia forensics, which is typically faced by means of camera Sensor Pattern Noise (SPN). Such an issue is challenging since SPN is a noise-like signal…
View article: Blind image watermarking in Wavelet-domain robust to printing and smart-phone acquisition.
Blind image watermarking in Wavelet-domain robust to printing and smart-phone acquisition. Open
In these days and age, printed and digital images are the principal means of communication chosen by companies to convey information about their products, since visual contents produce a direct and effective influence on people. At the sam…
View article: Verifying information with multimedia content on twitter
Verifying information with multimedia content on twitter Open
An increasing amount of posts on social media are used for disseminating news information and are accompanied by multimedia content. Such content may often be misleading or be digitally manipulated. More often than not, such pieces of cont…