collaborators

5 papers

cs.AI2026

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…