39 citations · 84 across the 10 of their papers we have counts for
11 papers
Arc2Morph: Identity-Preserving Facial Morphing with Arc2Face
Nicolò Di Domenico, Annalisa Franco, Matteo Ferrara +1
Face morphing attacks are widely recognized as one of the most challenging threats to face recognition systems used in electronic identity documents. These attacks exploit a critic…
Detecting Localized Deepfakes: How Well Do Synthetic Image Detectors Handle Inpainting?
Serafino Pandolfini, Lorenzo Pellegrini, Matteo Ferrara +1
The rapid progress of generative AI has enabled highly realistic image manipulations, including inpainting and region-level editing. These approaches preserve most of the original…
Generalized Design Choices for Deepfake Detectors
Lorenzo Pellegrini, Serafino Pandolfini, Davide Maltoni +3
The effectiveness of deepfake detection methods often depends less on their core design and more on implementation details such as data preprocessing, augmentation strategies, and…
Deductive Logic in Language Models: Horizontal vs Vertical Reasoning
Davide Maltoni, Matteo Ferrara
Recent language models exhibit significant logical reasoning abilities, yet the mechanisms supporting deductive inference remain poorly understood. This paper studies small transfo…
AI-GenBench: A New Ongoing Benchmark for AI-Generated Image Detection
Lorenzo Pellegrini, Davide Cozzolino, Serafino Pandolfini +5
The rapid advancement of generative AI has revolutionized image creation, enabling high-quality synthesis from text prompts while raising critical challenges for media authenticity…
From Gaming to Research: GTA V for Synthetic Data Generation for Robotics and Navigations
Matteo Scucchia, Matteo Ferrara, Davide Maltoni
In computer vision, the development of robust algorithms capable of generalizing effectively in real-world scenarios more and more often requires large-scale datasets collected und…
V-MAD: Video-based Morphing Attack Detection in Operational Scenarios
Guido Borghi, Annalisa Franco, Nicolò Di Domenico +2
In response to the rising threat of the face morphing attack, this paper introduces and explores the potential of Video-based Morphing Attack Detection (V-MAD) systems in real-worl…
Arithmetic with Language Models: from Memorization to Computation
Davide Maltoni, Matteo Ferrara
A better understanding of the emergent computation and problem-solving capabilities of recent large language models is of paramount importance to further improve them and broaden t…
Morphing Attack Potential
Matteo Ferrara, Annalisa Franco, Davide Maltoni +1
In security systems the risk assessment in the sense of common criteria testing is a very relevant topic; this requires quantifying the attack potential in terms of the expertise o…
Morphing Attack Detection -- Database, Evaluation Platform and Benchmarking
Kiran Raja, Matteo Ferrara, Annalisa Franco +18
Morphing attacks have posed a severe threat to Face Recognition System (FRS). Despite the number of advancements reported in recent works, we note serious open issues such as indep…
Face morphing detection in the presence of printing/scanning and heterogeneous image sources
Matteo Ferrara, Annalisa Franco, Davide Maltoni
Face morphing represents nowadays a big security threat in the context of electronic identity documents as well as an interesting challenge for researchers in the field of face rec…