KITE: a behavioural approach to fault-tolerance in FPGA-based systems. - Giovanni A. Mojoli; Davide Salvi; M. G. Sami; Giacomo R. Sechi; Renato Stefanelli (DFT, 1996)

Novel Technique for Testing FPGAs. - Cecilia Metra; Michel Renovell; Giovanni A. Mojoli; Jean-Michel Portal; Sandro Pastore; Joan Figueras; Yervant Zorian; Davide Salvi; Giacomo R. Sechi (DATE, 1998)

Categorisation by Context. - Giuseppe Attardi; Sergio Di Marco; Davide Salvi (J. Univers. Comput. Sci., 1998)

A Fault-Tolerance Strategy for an FPGA-Based Multi-stage Interconnection Network in a Multi-sensor System for Space Application. - Monica Alderighi; Fabio Casini; Sergio D'Angelo; Davide Salvi; Giacomo R. Sechi (DFT, 2001)

A Fault-Tolerance Scheme for a MIN-Based Multi-Sensor System. - Monica Alderighi; Fabio Casini; Sergio D'Angelo; Davide Salvi; Giacomo R. Sechi (FCCM, 2001)

A Fault-Tolerant FPGA-based Multi-Stage Interconnection Network for Space Applications. - Monica Alderighi; Fabio Casini; Sergio D'Angelo; Davide Salvi; Giacomo R. Sechi (DELTA, 2002)

Do Deepfakes Feel Emotions? A Semantic Approach to Detecting Deepfakes via Emotional Inconsistencies. - Brian C. Hosler; Davide Salvi; Anthony Murray; Fabio Antonacci; Paolo Bestagini; Stefano Tubaro; Matthew C. Stamm (CVPR Workshops, 2021)

A Data-Driven Approach to Violin Making. - Sebastian Gonzalez; Davide Salvi; Daniel Baeza; Fabio Antonacci; Augusto Sarti (CoRR, 2021)

Parametric Optimization of Violin Top Plates using Machine Learning. - Davide Salvi; Sebastian Gonzalez; Fabio Antonacci; Augusto Sarti (CoRR, 2021)

Deepfake Speech Detection Through Emotion Recognition: A Semantic Approach. - Emanuele Conti; Davide Salvi; Clara Borrelli; Brian C. Hosler; Paolo Bestagini; Fabio Antonacci; Augusto Sarti; Matthew C. Stamm; Stefano Tubaro (ICASSP, 2022)

Combining Automatic Speaker Verification and Prosody Analysis for Synthetic Speech Detection. - Luigi Attorresi; Davide Salvi; Clara Borrelli; Paolo Bestagini; Stefano Tubaro (ICPR Workshops (2), 2022)

Exploring the Synthetic Speech Attribution Problem Through Data-Driven Detectors. - Davide Salvi; Paolo Bestagini; Stefano Tubaro (WIFS, 2022)

TIMIT-TTS: a Text-to-Speech Dataset for Synthetic Speech Detection. - Davide Salvi; Brian C. Hosler; Paolo Bestagini; Matthew C. Stamm; Stefano Tubaro (Zenodo, 2022)

Towards Frequency Band Explainability in Synthetic Speech Detection. - Davide Salvi; Paolo Bestagini; Stefano Tubaro (EUSIPCO, 2023)

Reliability Estimation for Synthetic Speech Detection. - Davide Salvi; Paolo Bestagini; Stefano Tubaro (ICASSP, 2023)

Synthetic Speech Detection through Audio Folding. - Davide Salvi; Paolo Bestagini; Stefano Tubaro (MAD@ICMR, 2023)

All-for-One and One-for-All: Deep Learning-Based Feature Fusion for Synthetic Speech Detection. - Daniele Mari; Davide Salvi; Paolo Bestagini; Simone Milani (PKDD/ECML Workshops (2), 2023)

Are you Really Alone? Detecting the use of Speech Separation Techniques on Audio Recordings. - Davide Salvi; Mirco Pezzoli; Sara Mandelli; Paolo Bestagini; Stefano Tubaro (WIFS, 2023)

TIMIT-TTS: A Text-to-Speech Dataset for Multimodal Synthetic Media Detection. - Davide Salvi; Brian C. Hosler; Paolo Bestagini; Matthew C. Stamm; Stefano Tubaro (IEEE Access, 2023)

A Robust Approach to Multimodal Deepfake Detection. - Davide Salvi; Honggu Liu; Sara Mandelli; Paolo Bestagini; Wenbo Zhou; Weiming Zhang 001; Stefano Tubaro (J. Imaging, 2023)

Synthetic Speech Attribution: Highlights From the IEEE Signal Processing Cup 2022 Student Competition [SP Competitions]. - Davide Salvi; Clara Borrelli; Paolo Bestagini; Fabio Antonacci; Matthew C. Stamm; Lucio Marcenaro; Angshul Majumdar (IEEE Signal Process. Mag., 2023)

Comparative Analysis of ASR Methods for Speech Deepfake Detection. - Davide Salvi; Amit Kumar Singh Yadav; Kratika Bhagtani; Viola Negroni; Paolo Bestagini; Edward J. Delp (IEEECONF, 2024)

Deepfake Media Forensics: State of the Art and Challenges Ahead. - Irene Amerini; Mauro Barni; Sebastiano Battiato; Paolo Bestagini; Giulia Boato; Tania Sari Bonaventura; Vittoria Bruni; Roberto Caldelli; Francesco G. B. De Natale; Rocco De Nicola; Luca Guarnera; Sara Mandelli; et al. (ASONAM (Workshops), 2024)

FairSSD: Understanding Bias in Synthetic Speech Detectors. - Amit Kumar Singh Yadav; Kratika Bhagtani; Davide Salvi; Paolo Bestagini; Edward J. Delp (CVPR Workshops, 2024)

Listening Between the Lines: Synthetic Speech Detection Disregarding Verbal Content. - Davide Salvi; Temesgen Semu Balcha; Paolo Bestagini; Stefano Tubaro (ICASSP Workshops, 2024)

Analyzing the Impact of Splicing Artifacts in Partially Fake Speech Signals. - Viola Negroni; Davide Salvi; Paolo Bestagini; Stefano Tubaro (CoRR, 2024)

Audio Features Investigation for Singing Voice Deepfake Detection. - Mahyar Gohari; Davide Salvi; Paolo Bestagini; Nicola Adami (ICASSP, 2025)

Leveraging Mixture of Experts for Improved Speech Deepfake Detection. - Viola Negroni; Davide Salvi; Alessandro Ilic Mezza; Paolo Bestagini; Stefano Tubaro (ICASSP, 2025)

Freeze and Learn: Continual Learning with Selective Freezing for Speech Deepfake Detection. - Davide Salvi; Viola Negroni; Luca Bondi; Paolo Bestagini; Stefano Tubaro (ICASSP, 2025)

POLIPHONE: A Dataset for Smartphone Model Identification From Audio Recordings. - Davide Salvi; Daniele Ugo Leonzio; Antonio Giganti; Claudio Eutizi; Sara Mandelli; Paolo Bestagini; Stefano Tubaro (IEEE Access, 2025)

Anomaly Detection and Localization for Speech Deepfakes via Feature Pyramid Matching. - Emma Coletta; Davide Salvi; Viola Negroni; Daniele Ugo Leonzio; Paolo Bestagini (CoRR, 2025)

Source Verification for Speech Deepfakes. - Viola Negroni; Davide Salvi; Paolo Bestagini; Stefano Tubaro (CoRR, 2025)

Phoneme-Level Analysis for Person-of-Interest Speech Deepfake Detection. - Davide Salvi; Viola Negroni; Sara Mandelli; Paolo Bestagini; Stefano Tubaro (CoRR, 2025)