90 citations · 192 across the 22 of their papers we have counts for
27 papers
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…
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…
Beyond Spectral Peaks: Interpreting the Cues Behind Synthetic Image Detection
Sara Mandelli, Diego Vila-Portela, David Vázquez-Padín +2
Over the years, the forensics community has proposed several deep learning-based detectors to mitigate the risks of generative AI. Recently, frequency-domain artifacts (particularl…
Phoneme-Level Analysis for Person-of-Interest Speech Deepfake Detection
Davide Salvi, Viola Negroni, Sara Mandelli +2
Recent advances in generative AI have made the creation of speech deepfakes widely accessible, posing serious challenges to digital trust. To counter this, various speech deepfake…
WILD: a new in-the-Wild Image Linkage Dataset for synthetic image attribution
Pietro Bongini, Sara Mandelli, Andrea Montibeller +14
Synthetic image source attribution is an open challenge, with an increasing number of image generators being released yearly. The complexity and the sheer number of available gener…
Leveraging Land Cover Priors for Isoprene Emission Super-Resolution
Christopher Ummerle, Antonio Giganti, Sara Mandelli +2
Remote sensing plays a crucial role in monitoring Earth's ecosystems, yet satellite-derived data often suffer from limited spatial resolution, restricting their applicability in at…