Results 11 to 20 of about 11,860 (198)
Deepfakes have emerged as one of the most significant developments in contemporary computational media, representing a sophisticated convergence of machine learning, computer vision, and audiovisual synthesis.
Sean William Maher
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DeepFake MNIST+: A DeepFake Facial Animation Dataset [PDF]
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Jiajun Huang +4 more
openaire +2 more sources
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
Using artificial intelligence, it is becoming increasingly easy to create highly realistic but fake video content - so-called deepfakes. As a result, it is no longer possible always to distinguish real from mechanically created recordings with the naked ...
Alexander Godulla +2 more
doaj +1 more source
Restore DeepFakes video frames via identifying individual motion styles
Recent advance on highly realistic AI‐synthesised video approaches makes it hard to distinguish whether a speaker in video is real. Many existing DeepFakes detection approaches can be invalidated by using them as supervision in adversarial training ...
Haichao Zhang +3 more
doaj +1 more source
Keystroke Biometrics in Response to Fake News Propagation in a Global Pandemic [PDF]
This work proposes and analyzes the use of keystroke biometrics for content de-anonymization. Fake news have become a powerful tool to manipulate public opinion, especially during major events.
Acien, Alejandro +6 more
core +1 more source
DeepFake-o-meter: An Open Platform for DeepFake Detection [PDF]
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
openaire +3 more sources
Using deepfakes for experiments in the social sciences - A pilot study
The advent of deepfakes - the manipulation of audio records, images and videos based on deep learning techniques - has important implications for science and society. Current studies focus primarily on the detection and dangers of deepfakes. In contrast,
Andreas Eberl +2 more
doaj +1 more source
POLITICAL DEEPFAKES: CULTURAL DISCOURSES OF SYNTHETIC AUDIO-VISUAL MANIPULATIONS [PDF]
This study analyzes cultural discourses around political deepfakes through mediaarchiving. Deepfakes use deep learning techniques to edit authentic media content and are currently impacting online political communication.
Carvajal Rodriguez, Laura Camila
core +1 more source
Warning: Humans Cannot Reliably Detect Speech Deepfakes [PDF]
Speech deepfakes are artificial voices generated by machine learning models. Previous literature has highlighted deepfakes as one of the biggest security threats arising from progress in artificial intelligence due to their potential for misuse. However,
Bray, Sergi D. +3 more
core +3 more sources

