Results 1 to 10 of about 1,757 (137)
An Investigation of the Effectiveness of Deepfake Models and Tools
Journal of Sensor and Actuator Networks, 2023 With the development of computer vision and deep learning technologies, rapidly expanding approaches have been introduced that allow anyone to create videos and pictures that are both phony and incredibly lifelike.
Sami Azam +2 more
exaly +3 more sources
Is this real? Susceptibility to deepfakes in machines and humans [PDF]
Cognitive ResearchDeepfakes are synthetic media created by deep-generative methods to fake a person’s audio-visual representation. Growing sophistication of deepfake technology poses significant challenges for both machine learning (ML) algorithms and humans. Here we used
Didem Pehlivanoglu +7 more
doaj +2 more sources
Fighting Deepfakes Using Body Language Analysis
Forecasting, 2021 Recent improvements in deepfake creation have made deepfake videos more realistic. Moreover, open-source software has made deepfake creation more accessible, which reduces the barrier to entry for deepfake creation. This could pose a threat to the people’
Robail Yasrab, Wanqi Jiang, Adnan Riaz
doaj +1 more source
DeepFake Detection for Human Face Images and Videos: A Survey
IEEE Access, 2022 Techniques for creating and manipulating multimedia information have progressed to the point where they can now ensure a high degree of realism. DeepFake is a generative deep learning algorithm that creates or modifies face features in a superrealistic ...
Asad Malik +3 more
doaj +1 more source
A Novel Deep Learning Approach for Deepfake Image Detection
Applied Sciences, 2022 Deepfake is utilized in synthetic media to generate fake visual and audio content based on a person’s existing media. The deepfake replaces a person’s face and voice with fake media to make it realistic-looking. Fake media content generation is unethical
Ali Raza +2 more
doaj +1 more source
Analysis and Enlightenment of International Deepfake Technology Policy Texts: Taking the United States and the European Union as Examples [PDF]
Nongye tushu qingbao xuebao, 2022 [Purpose/Significance] In the digital age, artificial intelligence (AI) technologies based on intelligent algorithms have a huge impact on people's lives, and one representative technology is deepfake technology.
ZHAO Xueqin, LI Tian'e, HU Huihui
doaj +1 more source
Detection Enhancement for Various Deepfake Types Based on Residual Noise and Manipulation Traces
IEEE Access, 2022 As deepfake techniques become more sophisticated, the demand for fake facial image detection continues to increase. Various deepfake detection techniques have been introduced but detecting all types of deepfake images with a single model remains ...
Jihyeon Kang +4 more
doaj +1 more source
Deepfake Generation and Detection: Case Study and Challenges
IEEE Access, 2023 In smart communities, social media allowed users easy access to multimedia content. With recent advancements in computer vision and natural language processing, machine learning (ML), and deep learning (DL) models have evolved.
Yogesh Patel +7 more
doaj +1 more source
Deepfake Technology: A Criminological Literature Review
Sakarya Üniversitesi Hukuk Fakültesi Dergisi/Sakarya Hukuk Dergisi, 2023 Cybercrimes are rapidly evolving with the advancement of technology and reaching new dimensions. Deepfake technology, which is the subject of this article, has also become a part of cybercrime.
Fatih Arslan
doaj +1 more source
ClueCatcher: Catching Domain-Wise Independent Clues for Deepfake Detection
Mathematics, 2023 Deepfake detection is a focus of extensive research to combat the proliferation of manipulated media. Existing approaches suffer from limited generalizability and struggle to detect deepfakes created using unseen techniques.
Eun-Gi Lee, Isack Lee, Seok-Bong Yoo
doaj +1 more source