Results 91 to 100 of about 12,433 (211)

A survey on multimedia-enabled deepfake detection: state-of-the-art tools and techniques, emerging trends, current challenges & limitations, and future directions

Discover Computing
Rapid technological breakthroughs in recent years, like Deepfake, have made it feasible to produce synthetic media that is remarkably lifelike, but they also present significant hazards to public trust, privacy, and security.
Abdullah Ayub Khan, Asif Ali Laghari, Syed Azeem Inam, Sajid Ullah, M. Shahzad, Darakhshan Syed   +5 more
semanticscholar   +1 more source

Exploring autonomous methods for deepfake detection: A detailed survey on techniques and evaluation

Heliyon
The fast progress of deepfake technology has caused a huge overlap between reality and deceit, leading to substantial worries over the authenticity of digital media content.
R. Sunil, Parita Mer, Anjali Diwan, Rajesh Mahadeva, Anuj Sharma   +4 more
semanticscholar   +1 more source

Learning Self-distilled Features for Facial Deepfake Detection Using Visual Foundation Models: General Results and Demographic Analysis

Journal on Interactive Systems
Modern deepfake techniques produce highly realistic false media content with the potential for spreading harmful information, including fake news and incitements to violence.
Yan Martins Braz Gurevitz Cunha, Bruno Rocha Gomes, José Matheus C. Boaro, Daniel de Sousa Moraes, Antonio José Grandson Busson, Julio Cesar Duarte, Sérgio Colcher   +6 more
doaj   +1 more source

What You See Is Not What You Know: Studying Deception in Deepfake Video Manipulation

Journal of Cybersecurity Education, Research & Practice, 2023
Research indicates that deceitful videos tend to spread rapidly online and influence people’s opinions and ideas. Because of this, video misinformation via deepfake video manipulation poses a significant online threat.
Cathryn Allen, Bryson R. Payne, Chuck Robertson, Tamirat Abegaz   +3 more
doaj  

Deepfake forensics: a survey of digital forensic methods for multimodal deepfake identification on social media [PDF]

PeerJ Computer Science
The rapid advancement of deepfake technology poses an escalating threat of misinformation and fraud enabled by manipulated media. Despite the risks, a comprehensive understanding of deepfake detection techniques has not materialized.
Shavez Mushtaq Qureshi, Atif Saeed, Sultan H. Almotiri, Farooq Ahmad, Mohammed A. Al Ghamdi   +4 more
doaj   +2 more sources

Artificial rabbits optimization with transfer learning based deepfake detection model for biometric applications

Ain Shams Engineering Journal
Deepfake detection is a significant area of research in biometric applications, as it is essential to ensure the integrity and authenticity of biometric information.
Sana Alazwari, Marwa Obayya Jamal Alsamri, Mohammad Alamgeer, Rana Alabdan, Ibrahim Alzahrani, Mohammed Rizwanullah, Azza Elneil Osman   +6 more
doaj   +1 more source

GenConViT: Deepfake Video Detection Using Generative Convolutional Vision Transformer

Applied Sciences
Deepfakes 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, Hannes Mareen, Peter Lambert, Solomon Atnafu, Zahid Akhtar, Glenn Van Wallendael   +5 more
doaj   +1 more source

Deepfake detection in generative AI: A legal framework proposal to protect human rights

Computer Law & Security Review
Deepfakes, exploited for financial fraud, political misinformation, non-consensual imagery, and targeted harassment, represent a rapidly evolving threat to global information integrity, demanding immediate and co-ordinated intervention.
F. Romero-Moreno
semanticscholar   +1 more source

Deepfake video detection methods, approaches, and challenges

Alexandria Engineering Journal
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

Enhancing deepfake detection with Adaptive-DCGAN and Lite-CNN: a novel approach to image classification

Discover Applied Sciences
The rapid advancement of digital content generation technologies has led to the proliferation of deepfake media, posing significant security and privacy risks on social networks.
Deepa Javiya, Gordhan Jethava, Himani Parmar, Sweta Jethava   +3 more
doaj   +1 more source