Vulnerabilities of Facial Recognition and Countermeasures

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2022-2-8

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Aktaş, Utku

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Due to the developments in deep learning, the use of face recognition systems started to spread rapidly. Face recognition systems, which are used for purposes such as unlocking phones, entering our offices, or tracking citizens of states, also bring several problems. Attackers can find a weakness of the face recognition systems and avoid detection by facial recognition systems in various ways. Additionally attackers may carry out an impersonation attack which is the act of tricking the system by looking like an authorized person. In this research, basic building blocks of face recognition algorithms, face recognition vulnerabilities, how the attacks occur and what precautions can be taken are examined. It has been understood that it is difficult to reach a generalizable result because of a variety of facial recognition systems. In addition, attacks and countermeasures may differ according to the target system.

Subject Keywords

face recognition, deep learning, anti-spoofing, vulnerabilities

URI

https://hdl.handle.net/11511/95957

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Graduate School of Informatics, Term Project

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Citation Formats

U. Aktaş, “Vulnerabilities of Facial Recognition and Countermeasures,” M.S. - Master Of Science Without Thesis, Middle East Technical University, 2022.