Results 81 to 90 of about 11,154 (185)

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  

Deep Insights of Deepfake Technology : A Review

, 2023
Under the aegis of computer vision and deep learning technology, a new emerging techniques has introduced that anyone can make highly realistic but fake videos, images even can manipulates the voices.
Mahmud, Bahar Uddin, Sharmin, Afsana
core  

Visual Deepfake Detection: Review of Techniques, Tools, Limitations, and Future Prospects

IEEE Access
In recent years, rapid advancements in deepfakes (incorporating Artificial Intelligence (AI), machine, and deep learning) have updated tools and techniques for manipulating multimedia. Though technology has primarily been utilized for beneficial purposes,
Naveed Ur Rehman Ahmed, Afzal Badshah, Hanan Adeel, Ayesha Tajammul, Ali Daud, Tariq Alsahfi   +5 more
doaj   +1 more source

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

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

Threats to conservation from artificial‐intelligence‐generated wildlife images and videos

Conservation Biology, Volume 40, Issue 1, February 2026.
José Guerrero‐Casado, Tamara Murillo‐Jiménez, Antonio J. Carpio, Francisco S. Tortosa, Rocío Serrano‐Rodríguez   +4 more
wiley   +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

Legal Protection for Victims of Artificial Intelligence-based Pornography in the Form of Deepfakes According to Indonesian Law [PDF]

Deepfake is an artificial intelligence-based technique for synthesizing an image of a person, using a special method to combine images or videos to make the result look realistic (POLRI 2020).
., Tongat, Bhirini Slamet, Aprilia, Monique, Cindy, Wulandari, Siti   +3 more
core   +2 more sources

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