2 citations · 8 across the 16 of their papers we have counts for
18 papers
Toward Interpretable Speech Deepfake Detection using Artifact-Specific Experts and Calibrated Detection Scores
Viola Negroni, Xin Wang, Wanying Ge +3
In this work, we propose an interpretable framework for speech deepfake detection based on artifact-specific expert models. Rather than relying on black-box decisions, the framewor…
CUPID: Reconstructing UV Texture Maps for Interpretable Person-of-Interest Deepfake Detection
Giovanni Affatato, Sara Mandelli, Edoardo Daniele Cannas +2
Deepfakes targeting a high-profile individual, known as Person-of-Interest (POI), are a threat to modern democracies and societies. Current POI deepfake detection methods still str…
Multi-Task Transformer for Explainable Speech Deepfake Detection via Formant Modeling
Viola Negroni, Luca Cuccovillo, Paolo Bestagini +2
In this work, we introduce a multi-task transformer for speech deepfake detection, capable of predicting formant trajectories and voicing patterns over time, ultimately classifying…
Enhanced Water Leak Detection with Convolutional Neural Networks and One-Class Support Vector Machine
Daniele Ugo Leonzio, Paolo Bestagini, Marco Marcon +1
Water is a critical resource that must be managed efficiently. However, a substantial amount of water is lost each year due to leaks in Water Distribution Networks (WDNs). This und…
Forensic Similarity for Speech Deepfakes
Viola Negroni, Davide Salvi, Daniele Ugo Leonzio +2
In this paper, we introduce the concept of forensic similarity in the speech deepfake detection domain, which aims to determine whether two audio segments share the same underlying…
Attention-based Mixture of Experts for Robust Speech Deepfake Detection
Viola Negroni, Davide Salvi, Alessandro Ilic Mezza +2
AI-generated speech is becoming increasingly used in everyday life, powering virtual assistants, accessibility tools, and other applications. However, it is also being exploited fo…