Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 4 of 4 for “"Deepfake Datasets"”.
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NoiseLearner: An Unsupervised, Content-agnostic Approach to Detect Deepfake Images
… of hyper- realistic synthetic images or "deepfakes" at high resolutions, making them almost indistin- guishable from real images from cameras. While exciting, this technology introduces room for abuse. Deepfakes have already been misused to produce pornography, political propaganda, and …
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Towards Accurate and Fair Deepfake Detection
… thesis, we tackle two problems in the field of deepfake detection. First, we present a novel approach for the detection of deepfake videos using a pair of vision transformers pre-trained by a self-supervised masked autoencoding setup. Our method consists of two distinct components, one of which …
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ML-CHIEFS: machine learning-based corneal-specular highlight imaging for enhancing facial recognition security
… techniques of fictitious human facial images, DeepFake, elevates spreading misinformation and creating deception for identity theft, which becomes critical security and privacy threat. In this dissertation, ML-CHIEFS: Machine Learning-based Corneal-specular Highlight Imaging for Enhancing …
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Defending Against Misuse of Synthetic Media: Characterizing Real-world Challenges and Building Robust Defenses
… the generation of realistic synthetic media or deepfakes, including synthetic images, videos, and text. However, synthetic media can be misused for malicious purposes and damage users' trust in online content. This dissertation aims to address several key challenges in defending against the …