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20242026
most citedAnomaly Detection and Localization for Speech Deepfakes via Feature Pyramid Matching

3 citations · 7 across the 11 of their papers we have counts for

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5 papers · 1 filter

cs.SD2024★ 1 cited

Comparative Analysis of ASR Methods for Speech Deepfake Detection

Davide Salvi, Amit Kumar Singh Yadav, Kratika Bhagtani +3

Recent techniques for speech deepfake detection often rely on pre-trained self-supervised models. These systems, initially developed for Automatic Speech Recognition (ASR), have pr…

cs.SD2024★ 1 cited

Freeze and Learn: Continual Learning with Selective Freezing for Speech Deepfake Detection

Davide Salvi, Viola Negroni, Luca Bondi +2

In speech deepfake detection, one of the critical aspects is developing detectors able to generalize on unseen data and distinguish fake signals across different datasets. Common a…

cs.SD2024★ 1 cited

Leveraging Mixture of Experts for Improved Speech Deepfake Detection

Viola Negroni, Davide Salvi, Alessandro Ilic Mezza +2

Speech deepfakes pose a significant threat to personal security and content authenticity. Several detectors have been proposed in the literature, and one of the primary challenges…

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.SD2024

Analyzing the Impact of Splicing Artifacts in Partially Fake Speech Signals

Viola Negroni, Davide Salvi, Paolo Bestagini +1

Speech deepfake detection has recently gained significant attention within the multimedia forensics community. Related issues have also been explored, such as the identification of…