Results 21 to 30 of about 2,785,599 (172)
Improved Optical Flow Estimation Method for Deepfake Videos
Creating deepfake multimedia, and especially deepfake videos, has become much easier these days due to the availability of deepfake tools and the virtually unlimited numbers of face images found online.
Ali Bou Nassif +3 more
doaj +1 more source
Frequency Domain Filtered Residual Network for Deepfake Detection
As deepfake becomes more sophisticated, the demand for fake facial image detection is increasing. Although great progress has been made in deepfake detection, the performance of most existing deepfake detection methods degrade significantly when these ...
Bo Wang +5 more
doaj +1 more source
Existential Predictors of AI Anxiety: A Cross‐Sectional Study
ABSTRACT The present study explored associations between individual‐difference variables and artificial intelligence (AI) anxiety using self‐reported online questionnaires completed by 221 participants. The variables included existential reflection, existential anxiety, curiosity and exploration, AI literacy, and general anxiety, alongside ...
Fernand Gobet +3 more
wiley +1 more source
Facial Region-based Ensembling for Unsupervised Temporal Deepfake Localization [PDF]
peer reviewedThis paper addresses the challenge of temporal deepfake localization. Instead of classifying entire videos as real or fake, the goal is isolating forged frames in untrimmed videos that might be partially manipulated.
GHORBEL, Enjie +4 more
core +1 more source
Toward Explainable deepfake detectors
reservedOver the last few years, rapid advances in deep learning (DL) result in new techniques and tools that have recently drawn a lot of interest as new effective approaches to provide solutions in several study domains.
LISSANDRON, FRANCESCO
core
Abstract Given the increasing integration of Artificial Intelligence (AI) into everyday life and professional contexts, it is essential to investigate learners' existing capabilities regarding AI tools to inform possible interventions to equip them with necessary AI skills, but also advance the theoretical frameworks on digital skills measurement and ...
Christian Scheibenzuber +4 more
wiley +1 more source
Deepfake video detection methods, approaches, and challenges
Deepfake technology creates highly realistic manipulated videos using deep learning models, which makes distinguishing between authentic and fake content extremely difficult.
Mubarak Alrashoud
doaj +1 more source
Abstract The AI revolution has produced synthetic faces that often appear more human than photos of real people. We tested whether individual differences in human face recognition ability explain variation in discriminating AI from real faces. Super‐recognizers – people with exceptional ability to recognize human faces (N = 36) – outperformed a typical
James D. Dunn +5 more
wiley +1 more source
Design and development of an efficient RLNet prediction model for deepfake video detection
IntroductionThe widespread emergence of deepfake videos presents substantial challenges to the security and authenticity of digital content, necessitating robust detection methods.
Varad Bhandarkawthekar +3 more
doaj +1 more source
Do deepfakes, digital replicas and human digital twins justify personality rights?
Abstract Unauthorised deepfakes are deeply problematic, from the spreading of misinformation to non‐consensual pornographic content. This paper asks whether deepfakes, digital replicas and human digital twins justify personality rights. To address this question, it examines the harms that deepfakes can cause through disinformation, demeaning content ...
Hayleigh Bosher
wiley +1 more source

