Results 11 to 20 of about 12,433 (211)
DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection [PDF]
Neural Information Processing Systems, 2023 A critical yet frequently overlooked challenge in the field of deepfake detection is the lack of a standardized, unified, comprehensive benchmark. This issue leads to unfair performance comparisons and potentially misleading results.
Zhi Yan +4 more
semanticscholar +1 more source
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
Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation [PDF]
The Speaker and Language Recognition Workshop, 2022 The performance of spoofing countermeasure systems depends fundamentally upon the use of sufficiently representative training data. With this usually being limited, current solutions typically lack generalisation to attacks encountered in the wild ...
Hemlata Tak +5 more
semanticscholar +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
Pro Futuro, 2023 A deepfake is a video, audio or other content (e.g. image) that is completely or partially fabricated or created by manipulating existing, real content. Just as fake news calls into question the authenticity of real news, deepfake also calls into question the authenticity of real content.
Gosztonyi, Gergely +1 more
openaire +3 more sources
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
Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics [PDF]
Computer Vision and Pattern Recognition, 2019 AI-synthesized face-swapping videos, commonly known as DeepFakes, is an emerging problem threatening the trustworthiness of online information. The need to develop and evaluate DeepFake detection algorithms calls for datasets of DeepFake videos. However,
Yuezun Li +4 more
semanticscholar +1 more source
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.
Md. Saddam Hossain Mukta +6 more
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Multi-attentional Deepfake Detection [PDF]
Computer Vision and Pattern Recognition, 2021 Face forgery by deepfake is widely spread over the internet and has raised severe societal concerns. Recently, how to detect such forgery contents has become a hot research topic and many deepfake detection methods have been proposed.
Hanqing Zhao +5 more
semanticscholar +1 more source