4 citations · 17 across the 27 of their papers we have counts for
5 papers · 1 filter
MOTIF: Person-of-Interest Deepfake Detection Beyond 3DMM Coefficients
Giovanni Affatato, Sara Mandelli, Paolo Bestagini +1
Video deepfakes targeting a specific individual, the Person-of-Interest (POI), are the most harmful ones, and, since a public figure is abundantly recorded, a detector can be built…
Synthetic Speech Attribution via Prototypical Networks
Viola Negroni, Paolo Bestagini, Stefano Tubaro
Synthetic speech attribution aims to identify the generative system responsible for a speech signal, but current approaches typically rely on black-box neural networks that provide…
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…