Results 101 to 110 of about 12,335 (200)
Cortical-striatal brain network distinguishes deepfake from real speaker identity
Communications BiologyDeepfakes are viral ingredients of digital environments, and they can trick human cognition into misperceiving the fake as real. Here, we test the neurocognitive sensitivity of 25 participants to accept or reject person identities as recreated in audio ...
Claudia Roswandowitz +4 more
doaj +1 more source
GenConViT: Deepfake Video Detection Using Generative Convolutional Vision Transformer
Applied SciencesDeepfakes have raised significant concerns due to their potential to spread false information and compromise the integrity of digital media. Current deepfake detection models often struggle to generalize across a diverse range of deepfake generation ...
Deressa Wodajo Deressa +5 more
doaj +1 more source
Deepfake video detection methods, approaches, and challenges
Alexandria Engineering JournalDeepfake 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
Jurnal USM Law ReviewThis research aims to find out the role of criminal law in responding to the development and abuse of deepfakes through the application of the geen straf zonder schuld principle as a basis for prosecution.
Fasa Muhamad Hapid +2 more
doaj +1 more source
Discover Applied SciencesGenerative artificial intelligence (AI) is advancing rapidly, with deepfake technology illustrating the intersection of AI and multimedia forensics. This study examines the classification and evolution of deepfake, exploring their definition, societal ...
Fariha Jahan +7 more
doaj +1 more source
DeepFake-o-meter v2.0: An Open Platform for DeepFake Detection
2024 IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR)Deepfakes, as AI-generated media, have increasingly threatened media integrity and personal privacy with realistic yet fake digital content. In this work, we introduce an open-source and user-friendly online platform, DeepFake-O-Meter v2.0, that integrates state-of-the-art methods for detecting Deepfake images, videos, and audio.
Yan Ju +9 more
openaire +2 more sources
Content Matters: The Role of Deepfake Content in Shaping News Credibility and Engagement [PDF]
This paper investigates the impact of deepfake content on news credibility and user engagement with news on social media platforms. Building on existing literature that highlights platforms’ second-order effect on news credibility and engagement with the
Li, Ting, Miotto, Marilù, Priante, Anna
core +1 more source
Anomaly Detection of Deepfake Audio Based on Real Audio Using Generative Adversarial Network Model
IEEE AccessDeepfake audio causes damage not only to individuals and companies, but also to nations; therefore, research on deepfake audio detection technology is crucial.
Daeun Song +3 more
doaj +1 more source
Identifikasi Wajah Asli dan Buatan Deepfake Menggunakan Metode Convolutional Neural Network
TeknikaDi era teknologi saat ini, penggunaan dari Artificial Intelligence sangat berkembang pesat. Banyak teknologi yang sudah menerapkan AI untuk menghasilkan suatu informasi.
Jesselyn Mu +2 more
doaj +1 more source
Jurnal KawistaraPesatnya perkembangan teknologi berupa kecerdasan buatan memberikan dampak positif yang dapat memudahkan pekerjaan manusia, tetapi kecerdasan buatan juga berpotensi untuk disalahgunakan terutama dalam teknologi deepfake.
Azizatuz Zahro' +4 more
doaj +1 more source