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Web Application for Inspecting Results of Automatic Video Processing and Manual Annotations
Červíček, Petr ; Švec, Tomáš (referee) ; Smrž, Pavel (advisor)
The thesis pursues the implementation of the web application for obtaining valuable data for anotation. Data are mainly collected from videos and images, but they can be obtained from deepfakes images and gifs as well. The YOLO - You Only Look Once is used for object detection in the videos. Whole application is developed in node.js and react. Node.js for backend and react for frontend. For a better understanding of web application, there is also historical description of the web technologies.
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Deepfakes and current events in digital media
Vocásek, Šimon ; Wolák, Radim (advisor) ; Končelík, Jakub (referee)
Diploma thesis deals with the emergence of deepfakes and their influence on contemporary developments within digital media. The theoretical part of the thesis focuses on the technologies behind the emergence of deepfakes, but also on their pitfalls and impacts on current events in the media space. For these purposes, the work describes various areas from the applications and current use of artificial intelligence, through the influence on the credibility of the media to the regulation of the issue and the moral dilemmas associated with the creation of deepfakes. In the practical part, a qualitative experiment was first conducted, focusing on human abilities to recognize deepfake content compared to its real-life counterpart. The experiment was followed by a qualitative part of the research using a semi- structured interview method focusing on the public's perceptions of deepfakes
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Security Implications of Deepfakes in Face Authentication
Šalko, Milan ; Goldmann, Tomáš (referee) ; Firc, Anton (advisor)
Deepfakes, médiá generované hlbokým strojovým učením, ktoré sú pre človeka nerozoznateľné od skutočných, zažívajú v posledných rokoch obrovský rozmach. O ich schopnosti oklamať ľudí už bolo napísaných niekoľko desiatok článkov. Rovnako závažný, ak nie závažnejší, môže byť problém, do akej miery sú voči nim zraniteľné systémy rozpoznávania tváre a hlasu. Zneužitie deepfakes proti automatizovaným systémom rozpoznávania tváre môže ohroziť mnohé oblasti nášho života, napríklad financie a prístup do budov. Táto téma je v podstate nepreskúmaným problémom. Cieľom tejto práce je preskúmať technickú realizovateľnosť útoku na rozpoznávanie tváre. Experimenty opísané v práci ukazujú, že tento útok je nielen uskutočniteľný, ale navyše útočník naň nepotrebuje veľa prostriedkov. V práci je opísaný aj rozsah tohto problému. V závere je opísaných aj niekoľko navrhovaných riešení tohto problému, ktoré vôbec nemusia byť náročné na implementáciu.
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Media representation of deepfake
Janjić, Saška ; Švelch, Jaroslav (advisor) ; Nečas, Vlastimil (referee)
This master thesis explores the media representation of deepfakes. The first part summarizes previous research followed by a comprehensive review of deepfakes, including the technology allowing for their emergence, current uses and methods of regulation and detection. The second part connects the phenomenon with important theoretical concepts such as social construction of reality and the crucial role of media in this process. The empirical part consists of research combining two methods - quantitative content analysis and qualitative critical discourse analysis. The research analysis is focused on media articles dealing with deepfakes in order to find out how the media represent this phenomenon. The results show that current media discourse of deepfakes is strongly negative as the media frame them as a security threat. This negative representation is highly speculative since journalists often invent their own stories of future disastrous consequences of the technology for national security due to lack of current examples. The findings show an apparent hierarchy of the harms posed by deepfakes which is present in media coverage, and reflects gender sereotypes and inequality in the current society. Harm in the form of non-consensual fake pornography targeting women is neglected in the media...
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Web Application for Inspecting Results of Automatic Video Processing and Manual Annotations
Červíček, Petr ; Švec, Tomáš (referee) ; Smrž, Pavel (advisor)
The thesis pursues the implementation of the web application for obtaining valuable data for anotation. Data are mainly collected from videos and images, but they can be obtained from deepfakes images and gifs as well. The YOLO - You Only Look Once is used for object detection in the videos. Whole application is developed in node.js and react. Node.js for backend and react for frontend. For a better understanding of web application, there is also historical description of the web technologies.
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