Tubaro, Stefano

Deepfake Media Forensics: Status and Future Challenges

Amerini, I., Barni, M., Battiato, S., Bestagini, P., Boato, G., Bruni, V., Caldelli, R., De Natale, F., De Nicola, R., Guarnera, L., et al. (2025) · Journal of Imaging

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 113

A Robust Approach to Multimodal Deepfake Detection

Salvi, D., Liu, H., Mandelli, S., Bestagini, P., Zhou, W., Zhang, W., & Tubaro, S. (2023) · Journal of Imaging

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 96

Synthetic speech detection through short-term and long-term prediction traces

Borrelli, C., Bestagini, P., Antonacci, F., Sarti, A., & Tubaro, S. (2021) · EURASIP Journal on Information Security

Speech Recognition and SynthesisDigital Media Forensic Detection

Cited by 80

Do Deepfakes Feel Emotions? A Semantic Approach to Detecting Deepfakes Via Emotional Inconsistencies

Hosler, B., Salvi, D., Murray, A., Antonacci, F., Bestagini, P., Tubaro, S., & Stamm, M. C. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Digital Media Forensic DetectionEmotion and Mood Recognition

Cited by 78

Deepfake Speech Detection Through Emotion Recognition: A Semantic Approach

Conti, E., Salvi, D., Borrelli, C., Hosler, B., Bestagini, P., Antonacci, F., Sarti, A., Stamm, M. C., & Tubaro, S. (2022) · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisEmotion and Mood Recognition

Cited by 69

TIMIT-TTS: A Text-to-Speech Dataset for Multimodal Synthetic Media Detection

Salvi, D., Hosler, B., Bestagini, P., Stamm, M. C., & Tubaro, S. (2023) · IEEE Access

Digital Media Forensic DetectionSpeech Recognition and Synthesis

Cited by 65

Combining Automatic Speaker Verification and Prosody Analysis for Synthetic Speech Detection

Attorresi, L., Salvi, D., Borrelli, C., Bestagini, P., & Tubaro, S. (2023) · Lecture Notes in Computer Science

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 30

Video Face Manipulation Detection Through Ensemble of CNNs

Bonettini, N., Cannas, E. D., Mandelli, S., Bondi, L., Bestagini, P., & Tubaro, S. (2021) · 2020 25th International Conference on Pattern Recognition (ICPR)

Digital Media Forensic DetectionFace recognition and analysis

Cited by 27

DIPPAS: a deep image prior PRNU anonymization scheme

Picetti, F., Mandelli, S., Bestagini, P., Lipari, V., & Tubaro, S. (2022) · EURASIP Journal on Information Security

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 26

Forensic Analysis of Synthetically Generated Western Blot Images

Mandelli, S., Cozzolino, D., Cannas, E. D., Cardenuto, J. P., Moreira, D., Bestagini, P., Scheirer, W. J., Rocha, A., Verdoliva, L., Tubaro, S., et al. (2022) · IEEE Access

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 26

Leveraging Mixture of Experts for Improved Speech Deepfake Detection

Negroni, V., Salvi, D., Mezza, A. I., Bestagini, P., & Tubaro, S. (2025) · ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisDigital Media Forensic Detection

Cited by 14

Extracting Efficient Spectrograms From MP3 Compressed Speech Signals for Synthetic Speech Detection

Xiang, Z., Yadav, A. K. S., Tubaro, S., Bestagini, P., & Delp, E. J. (2023) · Proceedings of the 2023 ACM Workshop on Information Hiding and Multimedia Security

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 6