Project Details

Nástroje boje proti hlasovým DeepFakes

Project Period: 1. 1. 2024 – 31. 12. 2026

Project Type: grant

Code: VB02000060

Agency: Ministerstvo vnitra ČR

Program: Programu bezpečnostního výzkumu ČR 2021-2026: vývoj, testování a evaluace nových bezpečnostních technologií (SECTECH) - II. veřejná soutěž

English title
Tools To Combat Voice DeepFakes
Type
grant
Keywords

Deepfakes; artificial intelligence; computer security

Abstract

Deepfakes are a new application of artificial intelligence with a significant
impact on computer security. They are becoming easier than ever to create, and
these tools can be used to deceive individuals and organizations, especially when
combined with social engineering tactics such as phishing. 

This project therefore focuses on understanding the possible uses and associated
threats in the malicious use of voice deepfakes, with the intention of finding
reliable strategies to mitigate these threats. By doing so, we can ensure that
these innovations are used ethically and responsibly, creating a more sustainable
and fairer future for all. 

Its activities are focused on three main areas: enhancing the robustness of voice
biometric systems against voice deepfake spoofing attacks, creating tools to
counter the malicious use of voice deepfakes, and evaluating people's ability to
recognize voice deepfakes, while also finding ways to increase users' security
awareness.

Team members
Kudla Radim, Ing. (DCGM) – research leader
Brukner Jan, Ing. (DCGM)
Burget Lukáš, doc. Ing., Ph.D. (DCGM)
Černocký Jan, prof. Dr. Ing. (DCGM)
Firc Anton, Ing. (DITS)
Foltyn Lukáš, Bc. (DCGM)
Halas Jaromír (CVT)
Hanáček Petr, doc. Dr. Ing. (DITS)
Knapovský Jan, Bc. (DFIT-ISD)
Kotolan Martin (DFIT-ISD)
Malinka Kamil, Mgr., Ph.D. (DITS)
Matějka Pavel, Ing., Ph.D.
Mihola David, Bc. (DCGM)
Plchot Oldřich, Ing., Ph.D. (DCGM)
Polok Alexander, Ing. (DCGM)
Reš Jakub, Ing. (DITS)
Rohdin Johan Andréas, M.Sc., Ph.D. (DCGM)
Schwarz Petr, Ing., Ph.D. (DCGM)
Silnova Anna, M.Sc., Ph.D. (DCGM)
Staněk Vojtěch, Ing. (DCGM)
Šalko Milan, Ing. (DITS)
Yusuf Bolaji (DCGM)
Publications

2024

  • ALAM, J.; BARAHONA QUIRÓS, S.; BOBOŠ, D.; BURGET, L.; CUMANI, S.; DAHMANE, M.; HAN, J.; HLAVÁČEK, M.; KODOVSKÝ, M.; LANDINI, F.; MOŠNER, L.; PÁLKA, P.; PAVLÍČEK, T.; PENG, J.; PLCHOT, O.; RAJASEKHAR, P.; ROHDIN, J.; SILNOVA, A.; STAFYLAKIS, T.; ZHANG, L. ABC SYSTEM DESCRIPTION FOR NIST SRE 2024. Proceedings of NIST SRE 2024. San Juan: National Institute of Standards and Technology, 2024. p. 1-9. Detail
  • POLOK, A.; KLEMENT, D.; HAN, J.; SEDLÁČEK, Š.; YUSUF, B.; MACIEJEWSKI, M.; WIESNER, M.; BURGET, L. BUT/JHU System Description for CHiME-8 NOTSOFAR-1 Challenge. Proceedings of CHiME 2024 Workshop. Kos Island: International Speech Communication Association, 2024. p. 18-22. Detail
  • ROHDIN, J.; ZHANG, L.; PLCHOT, O.; STANĚK, V.; MIHOLA, D.; PENG, J.; STAFYLAKIS, T.; BEVERAKI, D.; SILNOVA, A.; BRUKNER, J.; BURGET, L. BUT systems and analyses for the ASVspoof 5 Challenge. Proceedings of ASV spoof 2024 Workshop. Kos Island: International Speech Communication Association, 2024. p. 24-31. Detail
  • STAFYLAKIS, T.; SILNOVA, A.; ROHDIN, J.; PLCHOT, O.; BURGET, L. Challenging margin-based speaker embedding extractors by using the variational information bottleneck. In Proceedings of Interspeech 2024. Proceedings of Interspeech. Kos: International Speech Communication Association, 2024. p. 3220-3224. ISSN: 1990-9772. Detail
  • WANG, S.; CHEN, Z.; HAN, B.; WANG, H.; XIANG, X.; ROHDIN, J.; SILNOVA, A.; QIAN, Y.; LI, H. Advancing speaker embedding learning: Wespeaker toolkit for research and production. Speech Communication, 2024, vol. 162, no. 103104, p. 1-12. ISSN: 0167-6393. Detail
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