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20242026
most citedFairSSD: Understanding Bias in Synthetic Speech Detectors

4 citations · 17 across the 27 of their papers we have counts for

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cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2024

Explainable Artifacts for Synthetic Western Blot Source Attribution

João Phillipe Cardenuto, Sara Mandelli, Daniel Moreira +3

Recent advancements in artificial intelligence have enabled generative models to produce synthetic scientific images that are indistinguishable from pristine ones, posing a challen…

cs.CV2024

Localization of Synthetic Manipulations in Western Blot Images

Anmol Manjunath, Viola Negroni, Sara Mandelli +2

Recent breakthroughs in deep learning and generative systems have significantly fostered the creation of synthetic media, as well as the local alteration of real content via the in…

cs.CV2024★ 2 cited

Deepfake Media Forensics: State of the Art and Challenges Ahead

Irene Amerini, Mauro Barni, Sebastiano Battiato +21

AI-generated synthetic media, also called Deepfakes, have significantly influenced so many domains, from entertainment to cybersecurity. Generative Adversarial Networks (GANs) and…

cs.CV2024

When Synthetic Traces Hide Real Content: Analysis of Stable Diffusion Image Laundering

Sara Mandelli, Paolo Bestagini, Stefano Tubaro

In recent years, methods for producing highly realistic synthetic images have significantly advanced, allowing the creation of high-quality images from text prompts that describe t…

cs.CV2024★ 1 cited

Hiding Local Manipulations on SAR Images: a Counter-Forensic Attack

Sara Mandelli, Edoardo Daniele Cannas, Paolo Bestagini +2

The vast accessibility of Synthetic Aperture Radar (SAR) images through online portals has propelled the research across various fields. This widespread use and easy availability h…

cs.CV2024★ 4 cited

FairSSD: Understanding Bias in Synthetic Speech Detectors

Amit Kumar Singh Yadav, Kratika Bhagtani, Davide Salvi +2

Methods that can generate synthetic speech which is perceptually indistinguishable from speech recorded by a human speaker, are easily available. Several incidents report misuse of…