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.
Results
Showing 1 to 15 of 15 for “"deepfake detection"”.
-
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 …
-
Discovering Fingerprints for Deepfake Detection and Multimedia-Enhanced Forensic Investigations
… a powerful yet frightening new phenomenon called deepfake: synthetic multimedia data created and/or altered using generative models. A great discovery made by forensic researchers over the years concerns the possibility of extracting a unique fingerprint that can determine the devices and software …
-
Cheated by deepfakes? deepfake detection ability, people’s reactions, and ethical implications
… questions: First, how well do people detect deepfakes, and what factors affect their ability to detect deepfakes? Second, what are their reactions when deepfakes are revealed ? Third, what do they see as the ethical implications of deepfakes, and how deepfakes could be used or abused? For …
-
Multimodal Foundation Models through the Lens of Security: Robust Deepfake Detection and Adversarial Resilience
… are often exploited to generate highly realistic deepfake images and are also vulnerable to adversarial attacks that degrade their performance. These threats contribute to the spread of misinformation and the manipulation of AI systems, raising serious concerns about their security and …
-
Detecting Deepfakes with Human Help to Help Humans Detect Deepfakes
Fake or manipulated video media (“deepfakes”) pose a clear threat to the integrity of online spaces that rely on video, from social media, to news media, to video conferencing platforms. To the human eye, these computer-generated fake videos are increasingly indistinguishable from genuine videos …
-
Development of Ensemble Strategies for Generalization in Deepfake Image Detection
… models has enabled the rapid proliferation of deepfake content, posing significant challenges in image-based biometric security and media authenticity. In this thesis, six diverse facial deepfake image datasets are assembled, and four modern detection models are evaluated in a cross-domain …
-
The Science and Art of Human and Artificial Intelligence Collaboration
… across three distinct tasks and domains: deepfake detection, dermatology diagnosis, and Wordle. First, the experiments in deepfake detection examine the similarities and differences between human and machine vision in identifying visual manipulations of people’s faces in videos and …
-
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 …
-
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 …
-
Deepfake Face Detection: An Ensemble Framework for Generalized Classification in Biometric Verification Systems
Generation methods for deepfake images have advanced rapidly, and deepfake face images pose a critical security for biometric verification systems. Applications that rely on face recognition to grant access to sensitive data need to maintain high accuracy across a wide variety of deepfake …
-
A study on creativity: Detection and network structures
… harmful applications are commonly referred to as deepfakes. This thesis consists of two parts that focus on each of these aspects separately. The first part deals with the detection problem for deepfake content. It outlines a classification problem for identifying an image as legitimate or fake, …
-
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 …
-
Surveying face liveness detection in the deepfake era
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-05-01
-
Image Forgery Detection with Machine Learning
<p>The issue of forged images is currently a global issue that spreads mainly via social networks. Image forgery has weakened Internet users’ confidence in digital images. In recent years, extensive research has been devoted to the development of new techniques to combat various image forgery …