Results 11 to 20 of about 1,097 (171)
The Creation and Detection of Deepfakes [PDF]
ACM Computing Surveys, 2021 Generative deep learning algorithms have progressed to a point where it is difficult to tell the difference between what is real and what is fake. In 2018, it was discovered how easy it is to use this technology for unethical and malicious applications, such as the spread of misinformation, impersonation of political leaders, and the defamation of ...
Yisroel Mirsky, Wenke Lee
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Multi-attentional Deepfake Detection [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 CVPR2021 ...
Hanqing Zhao +5 more
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DeepFake-o-meter: An Open Platform for DeepFake Detection [PDF]
CoRR, 2021 In recent years, the advent of deep learning-based techniques and the significant reduction in the cost of computation resulted in the feasibility of creating realistic videos of human faces, commonly known as DeepFakes. The availability of open-source tools to create DeepFakes poses as a threat to the trustworthiness of the online media. In this work,
Yuezun Li +4 more
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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
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Journal of Multidisciplinary KnowledgeThe spread of DeepFake media presents serious threats to digital security and authenticity. In this study, the DenseNet-121 architecture trained on RGB and grayscale datasets is used to compare DeepFake picture detection. To improve feature separability, a hybrid classification pipeline that included Principal Component Analysis (PCA) and Support ...
Prerna Kumari, Vikas Kumar
+6 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
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The detection of political deepfakes
Journal of Computer-Mediated Communication, 2022 AbstractDeepfake technology, allowing manipulations of audiovisual content by means of artificial intelligence, is on the rise. This has sparked concerns about a weaponization of manipulated videos for malicious ends. A theory on deepfake detection is presented and three preregistered studies examined the detection of deepfakes in the political realm ...
Markus Appel, Fabian Prietzel
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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
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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
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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
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