Saudi Cultural Missions Theses & Dissertations
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Item Restricted Deepfake Face Images Detection(Bahrain Polytechnic, 2024) Aldalbahi, Bedour Ahmad; Fawzy, Abdelhameed IbrahimDeepfake is a sort of AI that forges original image or video and create persuading images, audio and video. Deepfake media continues to gain ground online, raising a number of ethical and moral questions about their use, in that deepfakes can be used to undermine political elections, companies, individual and corporate finances, reputation, and many more. The proposed system to solve this problem is to use the most popular algorithm in deep learning, Convolution Neural Network (CNN), for detecting fake images. This will be achieved by training two deep learning models and analyzing their performances in distinguishing between the two classes of images “Real”,” Fake”. Our main aim is to contribute a useful framework toward the detection of deep-fake photos with deep learning. This thesis proposed convolutional neural networks for the identification of genuine and deepfake pictures. In this study, we have trained two models: DenseNet121 and ResNet50. The results will be categorized by Four evaluation metrics: accuracy, precision, recall, and F1-score. In that respect, DenseNet121 had the best performance with an accuracy of 94%. Besides, we obtained 91% from the ResNet50.8 0Item Restricted The creation and proliferation of deepfake “adult content”(University of Sussex, 2024) AlZahrani, Ahmed; Rizov, VladimirThis study investigates the creation and proliferation of deepfake pornographic content, focusing on its causes, impacts on privacy and security, and the necessary measures to address the ethical and legal challenges it presents. The analysis identifies financial incentives, personal vendettas, and a fascination with technology as key motivations behind the creation of deepfakes. Victims suffer significant consequences, including psychological harm, social exclusion, and job loss. The role of social media and video-sharing platforms is critical in the spread of deepfakes due to insufficient content moderation and algorithmic oversight. Despite advancements in technological solutions and legal frameworks, there are still considerable gaps in preventing deepfakes. The study calls for a comprehensive strategy that includes technological innovations, robust legal measures, and public awareness to mitigate the impact of deepfakes. It also emphasizes the importance of future interdisciplinary research to improve detection, prevention, and support for victims.33 0Item Restricted The Infringement of Using Protected Works and Performances Without Consent in the Deepfake Creation(Saudi Digital Library, 2023-11-06) Alkadi, Aeshah; Pavis, MathildeThe evolution witnessed in this era which is driven by artificial intelligence (AI) creates significant legal questions, especially for the Intellectual Property law. One of these important issues focuses on the synthetic media that are produced in a hyper-realistic way by relying on a unique way that is represented in imitating people's images and voices from previous content. This technology is identified as “Deepfake” and it caused several legal questions from different aspects due to the gaps in its regulation. This research aims to investigate the regulation gap that occurred after the emergence of Deepfake regarding the copyrights and performer's rights and to test how the infringement claim may be applied regarding the use of the pre-existed works and pre-existed performance in the Deepfake work. This research applied the Doctrinal method to understand how Deepfake connects with the copyright and performer’s rights legislation regarding the infringement claim. In order to understand how Deepfake works and to apply that precisely to the legal analysis, the sociolegal method is applied to include an explanation of the technology side. Moreover, the comparative analysis has been applied in order to make a comparison between what the regulator granted to the previous works under copyright law and to the performance under the performer’s rights in terms of infringement and Deepfake issues. The result of the research indicated that, using someone’s face or voice with no consent in Deepfake is available and it does not cause infringement provided that this person is not the owner of the copyrighted work because in this circumstance that leads to infringement. On this basis, this research supported the solution that proposes upgrading the performer’s rights to be on the same level of protection with copyright provisions.40 0