Results 91 to 100 of about 12,335 (200)

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  

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

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

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

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

“There is something Rotten in Denmark”: Investigating the deepfake persona perceptions and their implications for human-centered AI [PDF]

Although they often have a negative connotation due to their social risks, deepfakes have the potential to improve HCI, human-centered AI, and user experience (UX).
Almerekhi, H. A., Jansen, B. J., Jung, S.-G., Kaate, I., Salminen, J., Santos, J. M.   +5 more
core   +1 more source

Overcoming Deepfake Porn Crimes In Indonesia [PDF]

The research aims to look at dealing with deepfake porn crimes in Indonesia. The method used in normative legal research with the data sources used is primary, secondary, and tertiary legal materials to support the research. Research results show that in
Andira, Sindi Ayu, Susila, M. Endriyo
core   +1 more source

THE SURVEY ON WATERMARKING METHODS FOR PROACTIVE DEFENSE AGAINST DEEPFAKE

Кібербезпека: освіта, наука, техніка
As generative models advance, deepfake content is becoming indistinguishable from reality and passive forensic detection methods are becoming increasingly ineffective.
Михайло Марчук, Віталій Лукічов   +1 more
doaj   +1 more source

Deepfake: definitions, performance metrics and standards, datasets, and a meta-review

Frontiers in Big Data
Recent advancements in AI, especially deep learning, have contributed to a significant increase in the creation of new realistic-looking synthetic media (video, image, and audio) and manipulation of existing media, which has led to the creation of the ...
Enes Altuncu, Virginia N. L. Franqueira, Shujun Li   +2 more
doaj   +1 more source