Publication Details

Security Implications of Deepfakes in Face Authentication

ŠALKO Milan, FIRC Anton and MALINKA Kamil. Security Implications of Deepfakes in Face Authentication. In: SAC '24: Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing. 2024.
Czech title
Bezpečnostní dopady deepfakes v oblasti rozpoznávání obličejů
conference paper
Šalko Milan, Ing. (DITS FIT BUT)
Firc Anton, Ing. (DITS FIT BUT)
Malinka Kamil, Mgr., Ph.D. (DITS FIT BUT)

deepfake, facial recognition, biometrics systems, machine learning, computer security


Deepfakes are media generated by deep learning and are nearly indistinguishable from real content to humans. Deepfakes have seen a significant surge in popularity in recent years. There have been numerous papers discussing their effectiveness in deceiving people. What's equally, if not more concerning, is the potential vulnerability of facial and voice recognition systems to deepfakes. The misuse of deepfakes to spoof automated facial recognition systems can threaten various aspects of our lives, including financial security and access to secure locations. This issue remains largely unexplored. Thus, this paper investigates the technical feasibility of a spoofing attack on facial recognition. Firstly, we perform a threat analysis to understand what facial recognition use cases allow the execution of deepfake spoofing attacks. Based on this analysis, we define the attacker model for these attacks on facial recognition systems. Then, we demonstrate the ability of deepfakes to spoof two commercial facial recognition systems. Finally, we discuss possible means to prevent such spoofing attacks.

2024 (in print)
SAC '24: Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing
ACM Symposium On Applied Computing, Avila, ES
   author = "Milan \v{S}alko and Anton Firc and Kamil Malinka",
   title = "Security Implications of Deepfakes in Face Authentication",
   booktitle = "SAC '24: Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing",
   year = 2024,
   doi = "10.1145/3605098.3635953",
   language = "english",
   url = ""
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