Original title: Detekce prezentačních útoků pomocí podvrhů obličeje
Translated title: Detecting Presentation Attacks Using Face Spoofing
Authors: Homola, Tomáš ; Orság, Filip (referee) ; Goldmann, Tomáš (advisor)
Document type: Bachelor's theses
Year: 2024
Language: slo
Publisher: Vysoké učení technické v Brně. Fakulta informačních technologií
Abstract: [slo] [eng]
Detekcia tváre je jedna z najdôležitejších a najrozšírenejších spôsobov overenia identity osoby. Avšak tento spôsob vyvoláva taktiež obavy o súkromie a bezpečnosť. Je dôležité si uvedomiť nebezpečenstvá, ktoré to prináša a neustále vyvíjať prostriedky potrebné na ochranu proti nim. Táto práca sa zaoberá vysvetlením problematiky podvrhov tváre, hrozbou, ktorá vzniká pri úspešnom pokuse útočníka o podvrh a detekciou týchto podvrhov za pomoci algoritmov. Face detection is one of the most important and widespread methods of verifying a person's identity. However, this method also raises concerns about privacy and security. It is important to be aware of the dangers it brings and constantly develop the necessary means to protect against them. This thesis aims to explain the issue of face spoofing, the threat that arises from a successful attacker's attempt at spoofing, and the detection of these spoofs using algorithms.
Keywords: algorithm; deep learning; liveness recognition; photography; spoof detection

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: https://hdl.handle.net/11012/246612

Permalink: http://www.nusl.cz/ntk/nusl-619900


The record appears in these collections:
Universities and colleges > Public universities > Brno University of Technology
Academic theses (ETDs) > Bachelor's theses