Project Details

Nástroje boje proti hlasovým DeepFakes

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

Project Type: grant

Code: VB02000060

Agency: Ministry of Interior of the Czech Republic

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. (UPGM FIT VUT) , research leader
Malinka Kamil, Mgr., Ph.D. (UITS FIT VUT) , team leader
Brukner Jan, Ing. (UPGM FIT VUT)
Burget Lukáš, doc. Ing., Ph.D. (UPGM FIT VUT)
Černocký Jan, prof. Dr. Ing. (UPGM FIT VUT)
Firc Anton, Ing. (UITS FIT VUT)
Foltyn Lukáš, Bc. (UPGM FIT VUT)
Halas Jaromír (CVT FIT VUT)
Hanáček Petr, doc. Dr. Ing. (UITS FIT VUT)
Knapovský Jan, Bc. (CVT FIT VUT)
Kotolan Martin (CVT FIT VUT)
Matějka Pavel, Ing., Ph.D. (UPGM FIT VUT)
Mihola David, Bc. (UPGM FIT VUT)
Plchot Oldřich, Ing., Ph.D. (UPGM FIT VUT)
Polok Alexander, Ing. (UPGM FIT VUT)
Reš Jakub, Ing. (UITS FIT VUT)
Rohdin Johan A., Dr. (UPGM FIT VUT)
Schwarz Petr, Ing., Ph.D. (UPGM FIT VUT)
Silnova Anna, MSc., Ph.D. (UPGM FIT VUT)
Staněk Vojtěch, Ing., Bc. (UPGM FIT VUT)
Šalko Milan, Ing. (UITS FIT VUT)
Publications

2024

  • MALINKA Kamil, FIRC Anton, ŠALKO Milan, PRUDKÝ Daniel, RADAČOVSKÁ Karolína and HANÁČEK Petr. Comprehensive Multiparametric Analysis of Human Deepfake Speech Recognition. Eurasip Journal on Image and Video Processing, vol. 2024, no. 1, pp. 1-25. ISSN 1687-5281. Detail
  • FIRC Anton, MALINKA Kamil and HANÁČEK Petr. Deepfake Speech Detection: A Spectrogram Analysis. In: Proceedings of the ACM Symposium on Applied Computing. Avila: Association for Computing Machinery, 2024, pp. 1312-1320. ISBN 979-8-4007-0243-3. Detail
  • FIRC Anton, MALINKA Kamil and HANÁČEK Petr. Diffuse or Confuse: A Diffusion Deepfake Speech Dataset. In: 2024 International Conference of the Biometrics Special Interest Group (BIOSIG). Darmstadt: GI - Group for computer science, 2024, pp. 1-7. ISBN 978-3-88579-749-4. Detail
  • STAFYLAKIS Themos, SILNOVA Anna, ROHDIN Johan A., PLCHOT Oldřich and BURGET Lukáš. Challenging margin-based speaker embedding extractors by using the variational information bottleneck. In: Proceedings of Interspeech 2024. Kos: International Speech Communication Association, 2024, pp. 3220-3224. ISSN 1990-9772. Detail
  • MALINKA Kamil, FIRC Anton, KAŠKA Petr, LAPŠANSKÝ Tomáš, ŠANDOR Oskar and HOMOLIAK Ivan. Resilience of Voice Assistants to Synthetic Speech. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Bydgoszcz: Springer Nature Switzerland AG, 2024, pp. 66-84. ISBN 978-3-031-70878-7. Detail
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